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In the News

8 questions CIOs should ask to prime their business for gen AI

September 30, 2023

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Home • Blogs • Accent Notes • 8 questions CIOs should ask to prime their business for gen AI

by Diana Bersohn and Lan Guan

8 questions CIOs should ask to prime their business for gen AI

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26 Sep 2023 • 7 mins

Application Management Artificial Intelligence CIO

Gen AI has captured the attention of companies worldwide with speed and force, and, in turn, has significant implications for business operations, models, products, and services. And business leaders are taking note.

Credit: getty

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So leaders will need to radically re-think how work gets done. And CIOs—given their cross-functional view of business processes coupled with an intimate understanding of how technology can be leveraged to reinvent operations and deliver value—are especially well-positioned to help their organizations become enterprise-ready for gen AI.

Yet leaders struggle to take the necessary next steps to get the technology off the ground. For instance, a recent report from Accenture Strategy found that 67% of senior tech leaders view a lack of tech-fluency among their peers as a major barrier to integrating technology into strategy development. Critical to getting this right is understanding and linking gen AI and innovation to enterprise success.

Integrating AI effectively into a business begins with setting clear objectives that define the business value and aligning the AI strategy with these overarching business goals. Many CIOs, already responsible for driving their company’s digital agenda, have begun doing so with gen AI front and center, tapping AI solutions that deliver on the most critical elements of the strategy. They recognize that building a strong foundational architecture is an essential first step on their organization’s journey to enterprise readiness—and one that will position the business to scale gen AI with maximum efficiency and effectiveness, and foster successful adoption across the enterprise. In fact, 98% of global executives agree AI foundation models will play an important role in their organization’s strategies in the next three to five years.

So, what can CIOs do now? In the process of designing our new AI Navigator for Enterprise—a tool to help guide clients on their AI journeys—we’ve identified the following eight questions CIOs should ask themselves to pressure-test whether their enterprise is gen-AI ready:

Which foundation model should we use? In other words, what architecture best ensures model outputs are relevant, reliable, and usable. The number of gen AI models and vendors is growing by the minute. Choosing one requires careful considerations to ensure it fits your organization’s needs and asks.

How should I make these models accessible for us? There are two principal approaches a business can take to deploy the models, each with its own merits. Will you need a “full control” option in which you access the models on your own public cloud, or do you plan to access gen AI as a managed cloud service from an external vendor, allowing for speed and simplicity?

How will we adapt models to our own data for consumption? AI, together with data, has become a key component of a robust digital core —the main source of competitive advantage for companies today. Getting maximum value from gen AI requires leveraging your proprietary data to bolster accuracy, performance, and utility within the enterprise. Consider the various ways you can adapt pre-trained models with your own data to create customized tools relevant for your organization and your people.

What’s our overall enterprise readiness? First consider your integration and interoperability frameworks. Are your foundation models secure and safe to use? The adoption of gen AI brings fresh urgency to the need for every company to have a robust and responsible AI compliance program in place. Adhering to laws, regulations, and ethical standards is imperative to build a sound AI foundation, as is administering controls to assess the potential risk of gen AI use cases at the design stage.

What about our carbon footprint? Foundation models, although they come pre-trained, can still use significant energy during adaptation and fine-tuning. How much, and the implications of it, depend on the approach taken to buy, boost, or build the foundation models. Left unchecked, this has the potential to cause consequential environmental impact, making it all the more important to weigh sustainable considerations up front in order to make the right choices for both the business and the environment.

How can we industrialize gen AI app development? The next step after choosing and deploying a foundation model is to consider what new frameworks may be required to industrialize and accelerate application development. Prompt engineering techniques are fast becoming a differentiating capability. By industrializing the process, you can build up a corpus of efficient, well-designed prompts and templates aligned to specific business functions or domains.

What do we need to operate gen AI at scale? The complexity that comes with upending existing processes and reinventing ways of working with new tech is its own challenge. But finding ways to monetize the value generated by AI at scale should be the question on every CIO’s mind. AI, by virtue of its capabilities, is fertile ground for fostering innovation. And CIOs, by virtue of their role, are well-connected across the enterprise fabric. Finding opportunities for cross-functional collaboration will lead to fresh insights and informed decision-making that promote open innovation both within your organization and across your industry, while unlocking new opportunities for growth.

Where do I start and how do we proceed to guide where we want to go? Generative AI-enabled productivity is the next major milestone. Software development is an area ripe for CIOs to make an impact. Dive in and share your use case to demonstrate your team’s real-world experience with tangible results from your pilot projects. For example, Accenture last year looked at how gen AI can help our software development team launch products faster. We used gen AI tools, like Amazon CodeWhisperer, and saw a significant improvement in developer productivity and code quality. Our overall release cycles were faster, which helped us deliver our new AWS Velocity platform in record time. By being your own case study, you can show how to make it real and guide the rest of the organization on where to experiment and test, move fast, and expand the usage quickly. You’ll be more equipped to guide your stakeholders on where technology can go, how fast you can move, and what results the organization can expect.

A new inflection point

Technology is paramount to achieving stronger growth, more agility, and greater resilience for every industry, with gen AI being the key differentiator. So much so that the technology is set to fundamentally transform work and life as we know it. Our research found that 40% of all working hours can be impacted by large language models (LLM). A closer look shows that in IT and technology roles specifically, 73% of total working hours can be transformed by gen AI, bringing to bear the importance of creating the right foundation for scaling gen AI securely, responsibly, cost-effectively, and in a way that delivers real business value.

CIOs have a significant opportunity to step up and help their business navigate the complexities of today’s rapidly transforming digital landscape. Using breakthrough advances in AI and a holistic approach to performance that looks across the entire enterprise, they can identify ways to make technology work for them in order to set new performance frontiers and redefine themselves and the industries in which they operate.

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It all begins with enterprise readiness, and CIOs hold the key to unlocking value to create the organization for tomorrow.

by Diana Bersohn

Columnist

Diana Bersohn is a managing director in Accenture Strategy - Technology. She is a leader in strategy and transformation, specializing in global IT operating models and large-scale business and technology transformations.

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Analysis: CrowdStrike’s Next Big Opportunity Is More About IT Than Security | CRN

September 30, 2023

With Falcon for IT, the cybersecurity giant is making its most ambitious move yet to become a larger player in the broader IT space. But the early interest appears even stronger than CrowdStrike execs had expected.

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Amid announcements in generative AI and cloud security last week, CrowdStrike turned a surprising number of heads by revealing a product in a decidedly less-buzzy area.

Oh, and also: The new tool is not even for cybersecurity teams.

During Fal.Con 2023 in Las Vegas, the company unveiled Falcon for IT — which taps into the same CrowdStrike technologies that’ve made such a mark in cybersecurity, but uses them to improve routine-but-critical IT tasks such as asset inventory and CPU utilization.

[Related: CrowdStrike’s 8 Biggest Announcements At Fal.Con 2023]

CrowdStrike has been working up to the announcement — its biggest foray yet into becoming a player in the broader IT space — for some time now. Still, executives including CEO George Kurtz actually sounded a bit surprised at just how strong and immediate the reaction was to the idea. Within just a few hours of Falcon for IT’s reveal, Kurtz said he’d already received “a lot of feedback” about the offering.

“That one,” Kurtz told a handful of reporters at Fal.Con, “got people really excited.”

CrowdStrike President Michael Sentonas had a similar experience, it seems. “I got pummeled with emails from a lot of people in this room yesterday, saying, ‘We want to try it out. We want to deploy it,’” Sentonas said of Falcon for IT, a day after the announcement of the offering.

CrowdStrike partners such as Jordan Hildebrand of World Wide Technology were no less enthusiastic.

“With something like Falcon for IT, you’re knocking down that wall between the security team and IT — which I think is going to be an incredible story,” Hildebrand, practice director for detection and response at St. Louis-based WWT, told me last week.

‘Tanium On Steroids’

The opportunity for CrowdStrike to expand into the wider IT space intuitively makes a lot of sense.

The company already has its Falcon software agent on a massive number of endpoint devices at its 23,000 customers (a figure that is almost certain to swell as it reaches into the SMB market with the help of an army of MSPs).

Among other things, what that means is that CrowdStrike is doing the sorts of data collection that could be relevant to the IT side of the house, anyway, executives said during Fal.Con 2023.

“If IT already has a security agent, why not allow that architecture — that single-agent architecture, the ability to collect data at scale, the ability to take action — why not make that power available to the IT group?” Kurtz said during his keynote session.

“So the goal here is, IT can manage policy, deploy software and make real-time orchestrated changes across their fleet of systems,” he said. “So if you want to put this in perspective, think Tanium on steroids. That’s what we’re delivering in a single agent — not only security prevention, but the ability for IT groups to ask and answer questions across their fleet.”

The question-and-answer functionality will be enabled through CrowdStrike’s generative AI-powered assistant, Charlotte AI, as Kurtz demo’ed during his keynote.

After seeing some of the expected uses for the new Falcon for IT offering, it’s not hard to see that CrowdStrike could be on to something here.

At the top of the list is asset inventory — an area where an array of other vendors, including the aforementioned Tanium, already offer products. However, at present, “no one’s doing it great in the market,” said Larry Pfiefer, founder of Consortium Networks, a Medford, N.J.-based CrowdStrike partner.

Other needs that Falcon for IT can help with include determining CPU utilization on devices, which can impact performance, and assessing software utilization. Along with meeting basic-but-critical IT needs, those capabilities can help organizations with cost reduction.

This may turn out to just be a sampling of the potential Falcon for IT use cases.

Broad Uses In IT

CrowdStrike’s Falcon technology is primed for an array of possible IT uses, thanks to its “lightweight agent that runs on pretty much anything that computes — [with] the ability to bring high-fidelity data back to a central location,” said Curt Aubley, cyber and strategic risk groups managing director at Deloitte.

“Once you can do that, it opens up so many different options,” he told me. Falcon for IT, Aubley said, “has a lot of great potential.”

Over time, CrowdStrike has built capabilities that are highly applicable to IT, said Raj Rajamani, chief product officer for data, identity, cloud and endpoint at CrowdStrike. Those include real-time response (RTR), which enables scripts to be run in parallel on hundreds or thousands of systems, he said.

Meanwhile, CrowdStrike gained log management capabilities through its 2021 acquisition of Humio, now known as Falcon LogScale. “When we started giving customers the ability to take the output of RTR and plug it into LogScale, the lightbulb went off,” Rajamani said.

The combination enables monitoring and analysis of devices in a range of ways that’s useful to IT teams, he said. Some customers figured this out, in fact, and “we started seeing customers organically starting to build Falcon for IT,” Rajamani said.

“That led us to wonder, ‘What might it take for us to actually provide an out-of-the box experience for customers, without them having to build it?’” he said.

Other Falcon for IT uses that are within reach include application performance monitoring, Rajamani said. CrowdStrike’s planned acquisition of Bionic also gives the company additional application-level visibility that could augment Falcon for IT’s ability to identify IT bottlenecks, he said.

Displacing RMM?

For yet another example, remote monitoring and management (RMM) tools could also potentially be displaceable with the Falcon for IT technology.

“That was the first place that my mind went — this could be used as a displacement of all the RMM tools that are out there,” said Nick Heddy, chief commerce officer at cloud-focused distributor Pax8, in an interview. “And that’s not exactly what it was built for. But that is a massive, massive TAM [total addressable market].”

Indeed, RMM makes a lot of sense as an eventual Falcon for IT use case, CrowdStrike Chief Business Officer Daniel Bernard told me.

It’s also one more indicator of just how disruptive CrowdStrike’s IT push could be. “You know you have a platform when people think of new use cases for your technology, that you didn’t even think of,” Bernard said.

In our recent interview, Kurtz told me that CrowdStrike already is going after a more than $100 billion TAM just for cybersecurity. “If you add IT as a new pool of dollars,” he said, the total addressable market becomes even more “massive.”

“We think the ability to leverage this agent is really valuable beachfront that we have. Customers want to do more with less. They want less agents,” Kurtz said. “We’ve got the most-efficient and capable agent out there—it just happens to be that we deliver security through it. But it doesn’t mean that we can’t deliver other IT outcomes using our technology.”

Bridging The Divide

Not that CrowdStrike is taking its eye off the ball on its “we stop breaches” mission. Along with the acquisition deal for Bionic to augment CrowdStrike’s cloud security capabilities, the slew of Fal.Con product announcements included the launch of an exposure management offering and a significant new release of its Falcon platform.

With the forthcoming Falcon release — referred to as “Raptor” to signify that it’s a major update to the platform — CrowdStrike has brought in numerous new capabilities, including the ability to natively ingest data from third-party tools. That allows Falcon to treat CrowdStrike data and third-party data exactly the same, leading to better visibility and correlation of threats across tools using CrowdStrike’s XDR (extended detection and response) technology, executives said.

Increasingly though, you can expect to see CrowdStrike working to enable not just the cybersecurity pros out there, but also to bridge the long-running divide with the IT side.

With Falcon for IT — expected to be generally available in early 2024 — Kurtz ultimately believes CrowdStrike has a unique approach that “can help both teams get along.”

Buzzworthy or not, that’s the sort of innovation the industry could use a whole lot more of right now.

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Why Transcarent Launched a National Independent Provider Ecosystem

September 30, 2023

Wow, it seems like a lot longer, but it was Tuesday, only three days ago, when we launched the National Independent Provider Ecosystem.  Lots of excitement and a lot of questions that I’ve been answering all week.  Most exciting was that people knew something had changed! 

Why did you do this?

One of the most common questions was: why did you do this?  You already have the largest number of high quality Centers of Excellence and ambulatory surgery centers --- over 300 COEs covering over 830 access points. The answer is that our announcement and the contractual agreements we have with ten of the largest, highest quality providers / health systems  in the country (along with a pre-existing agreement with our long-time partner Rush University System for Health ) give us a unique opportunity to deliver a new and better health and care experience for our Members (people who work for our clients and their families), truly improve care and clinical outcomes, and do all of that with consistent, transparent, and very competitive pricing. Competitors may say they have something similar . . . they can’t, they don’t, they won’t. One- time agreements are not relationships and don’t result in win-wins.  And simply focusing on the lowest cost for a procedure is not a good way to lower overall healthcare costs. Judging by the response to our announcement, our ecosystem will only continue to grow. We already have a number of high-quality organizations waiting to be added.

What may be unique is that we’ve worked hard to structure agreements that deliver meaningful benefits for self-insured employers and their employees,  but also for health systems/providers. This didn’t happen overnight. We began with a unique relationship with Rush System for Health, where we explored what real relationships with high quality providers could look like. And we learned a lot.  And then our team spent the better part of the last year working with leading health systems around the country on how to create the next generation of Centers of Excellence.

Quality

We started with quality. People ask me all the time if we have the lowest prices?  I tell them we have the highest value. We start with quality and work with the top quartile of doctors and of facilities.  Not everyone.  And we surround that statement with a quality process unlike any other. We partnered with @Aneesh Chopra at CareJourney . He and his team built something special including the most comprehensive and transparent physician quality, efficiency, and appropriateness measurements we have seen in the market. It covers detailed physician classifications, episode cost benchmarks, and quality measures, in addition to scoring for physicians, practices, and facilities in commercial markets across the country.  And then I ask our Chief Medical Officer, @Dr. Randy Hawkins, to put a process in place based on his years of experience in many roles in healthcare.  We wanted a process we trusted for our own families. 

Information and Access

If you want to make it easy for people to access high quality health and care, you have to make it easy for them to access the information they need (Provider Search on our platform), then access the care (Care in 60 seconds, with a single touch, available today on our platform or, if you prefer in person, locally at one of our partners), and they have to be able to afford it.  Well, a lot of our employers are making care free, waiving co-pays and co-insurance (the largest cause of bankruptcy in our country) if people use the Transcarent Experience. Now that’s something different. 

Creating Win-Wins . . . We’re betting on health systems!

People also ask me, why are you betting on Health Systems and on Providers?  When someone asked Willy Sutton, the famous bank robber, why he robs banks, he said, “because that’s where the money is.”  Why am I betting on health systems and providers? It turns out, they do the work we need to keep us all healthy and we need to keep them healthy. That means paying them, when they deliver the care, just like you pay a restaurant when you have a high quality, nourishing meal delivered with great service. You even provide a tip. You don’t wait 30, 60 or 90 days or longer to pay them and you don’t start negotiating what the meal should cost after you’ve consumed it. And you trust them to deliver quality.  You also measure that restaurant and may use outside metrics, like Yelp, to see what other people say.  So do we. 

So, tell me again, why are we different?  We’re paying systems the day they deliver care, sharing our value based rewards with them, and they are providing preferred access to our Members and working with us to design new value-based pathways for better care.

There’s a lot more to what we’re about. It’s new, it’s different, and it’s better.  One Place for Care: Care in 60 Seconds, Pharmacy Marketplace, Care @ Home (or close to it), SurgeryCare, and ComplexCare (beginning with our oncology experience).

And this will surprise you as well. We’re partnering with employers, their employees, health systems, and yes, payers too. Anyone who wants to make it easier for our Members --- people like you and your family --- to access high quality, affordable care. 

The announcement was an important day for our Health System/Providers, our Clients, our Members, and for Transcarent . . . the One Place to go for Health and Care. The future will be even brighter! 

Read about it:  https://transcarent.com/test/transcarent-launches-national-independent-provider-ecosystem

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AI And Standards Aren’t Enough: Fixing Prior Authorization Will Require Something Else Entirely

September 30, 2023

By leveraging a purpose-built two-sided platform, healthcare will finally have the technology fix to address the root of the PA problem.

The need to fix healthcare’s antiquated prior authorization (PA) process remains a hot-button issue in the industry, garnering policy attention and spurring the development of myriad technology solutions aimed at upending some part of the wildly inefficient, burdensome process. Unfortunately, today’s existing technology “fixes” and regulatory efforts are an insufficient drop in a very deep bucket – one that can only be filled with an entirely new solution.

prior authorization causes burnout and frustration. Health plans view prior auth as a tool to ensure physicians practice evidence-based care. A real-time communication platform is needed to improve the process and rebuild trust.

getty

Only by creating a dedicated health information network for PA – similar to the way a national network was built for e-prescribing – can the healthcare industry hope to fix the deficient PA process and address what’s really at the root of all PA problems: a lack of visibility/transparency and a lack of trust.

PA is generally demonized by physicians and patients alike, seen as an unnecessary layer of administrative oversight that undermines a physician’s clinical judgment and keeps patients from getting timely care. Payers, on the other hand, view PA as their primary mechanism for managing costs and reducing low-value or inappropriate care upstream.

Unsurprisingly, many providers feel PA is doing more harm than good. Nearly all – 89% – provider respondents to a 2021 American Medical Association survey said PA had a somewhat or significantly negative impact on clinical outcomes, where 86% of physicians reported that PA leads to ineffective initial treatments (step therapy) or additional office visits.

Importantly, neither payers nor providers are wrong in their views. But, it’s important to recognize that the root of the PA problem stems from the complete lack of trust between payers and providers and the fractured nature of the healthcare delivery system.

Payers don’t trust that providers are making optimal, appropriate, high-value care decisions, mainly because payers have no visibility into the care process or into why certain decisions are being made.

These concerns aren’t unfounded. A 2011 study from the American Clinical and Climatological Association projected that the amount of medical knowledge would double every 73 days by 2020, making it impossible for physicians to stay on top of new findings, innovative care options or changes to medical guidelines. According to a 2022 Journal of Internal Medicine study, primary care providers would have to practice medicine for nearly 27 hours per day to keep up with the latest guidelines. There is also a high-degree of care variability that exists from institution to institution, and physician to physician.

On top of the challenges that come with being a human being that can only ingest so much information at a time, providers simply don’t trust that payers are putting the needs of patients above plan profits. Many providers see plans as nothing more than money-hungry bureaucrats, wielding their hammer of “no” through PA, and creating unnecessary administrative obstacles that pull clinicians away from clinical workflows and keep patients from getting care in a timely manner.

Benjamin Schwartz, a practicing orthopedic surgeon in the Greater Boston area, recently penned his thoughts about the two-sided PA coin, noting that, “As much as docs universally despise UM/PA, the reality is that there is another side to the coin — low value care exists to a bigger degree than we docs might like to admit. There are a multitude of reasons why, but to deny this is disingenuous.”

Schwartz goes on to say that while he doesn’t believe PA is the best way for payers to manage low value care – “the collateral damage is too high” – he’s not sure what the fix to the problem is. “Maybe it's gold cards. Maybe it's some form of (gulp) value-based care. Probably it's something else entirely.”

Proposed Standards May Miss The Boat

While gold carding and value-based care may help improve certain aspects of PA processing, Schwartz’ inkling is right. The industry does need “something else entirely” in order to improve PA at scale – especially as some of the latest tech-focused policy proposals are causing confusion, and even bringing the two typically at-odds sides together to express their concern.

In a letter to the Centers for Medicare and Medicaid Services (CMS) in July, the American Hospital Association (AHA), American Medical Association (AMA), the Alliance for Health Insurance Plans (AHIP) and the Blue Cross Blue Shield Association wrote that two proposed rules, each focused on information exchange standards, were at odds with each other and would cause more than just confusion if passed.

Introduced in December 2022, the Administrative Simplification rule and the Interoperability and Prior Authorization rule, if finalized, would “set the stage for multiple [prior authorization] electronic standards and workflows and create the very same costly burdens that administrative simplification seeks to alleviate,” the letter stated.

On top of these contradictions, the information exchange standards don’t do anything to address the incredible variation and variety of the information being exchanged, or take into account how data will have very different meaning/context for providers as opposed to payers.

authorization technology platform

Joe Anstine

“EHRs have created a business that allows providers to customize workflows, with a high degree of customization and fragmentation,” says Joe Anstine from Rhyme, a technology platform that integrates and normalizes data from provider EHR systems and payer case management systems to enable the exchange and decision of prior authorization in real-time.

The incredible variation in EHR data effectively blocks it from flowing out to payers, says Anstine, on top of the issue that these data have very little meaning or context for payers on the receiving end. Neither of these problems are issues that the proposed standards consider, let alone address. “Until we solve the data clog and interpretation problems, we’re going to see very little progress.”

Innovation Is Happening, Kinda

Ill-equipped data exchange standards aside, innovation in the PA space is happening, with many solutions providers embracing AI as the PA fix.

According to a McKinsey analysis, AI-enabled prior authorizations can automate up to 75% of manual tasks. This potential is why many tech companies, including giants like Google, Microsoft, and IBM, are betting big on generative AI solutions to improve efficiency and reduce the time and cost burden of manual PA processing for providers and payers.

Announced at the company’s latest user group meeting (UGM), Epic is deepening its partnership with Microsoft to accelerate generative AI-powered 'copilot' tools to help clinicians save time on PA requests. Speaking to UGM attendees, Microsoft CEO Satya Nadella described generative AI as the result of "two breakthroughs" that happened simultaneously — natural language capabilities and a reasoning engine to gain insights from data.

of Premier

Ryan Nellies

At Premier, one of the country’s largest group purchasing organizations representing more than 4,400 hospitals and health systems, addressing the burden of prior authorization is a priority. The company in 2018 acquired Stanson Health, a technology company providing clinical decision support tools that are integrated into providers’ EHR systems. As Stanson Health’s Ryan Nellis explains, “Prior authorization is clinical decision support. It’s a set of rules, based on evidence. It’s just frustrating because it happens after the fact, and makes everybody [providers and patients] wait until it’s resolved.”

Nellis touts the company’s novel approach, in which it ingests prior authorization rules from partnered health plans and applies those rules within a provider’s EHR workflow, as a key reason the company has seen its technology deployed to more than 1,000 hospitals.

Blue Shield of California

Lisa Davis

Health plans, for their part, are also embracing AI capabilities to improve PA processing. Blue Shield of California’s pilot program with Google Cloud, for example, is leveraging AI and machine learning technologies to help expedite the PA process. But as Lisa Davis, senior vice president and chief information officer at Blue Shield of California, noted, “There will always be a need for humans. Artificial Intelligence will never be the be-all end-all” said Davis. “It is an enabler. It's a tool. You have to have people involved in the system that provide that oversight and quality of care.”

As with all things shiny and new in healthcare, especially when introducing automation to care decision-making, the industry must proceed with caution. Take the class action lawsuit brought against health insurer Cigna in July, which alleges Cigna’s PA screening algorithm was developed “to systematically, wrongfully, and automatically deny” its members of a physician’s review of PA requests as “guaranteed to them by California law.”

The issue this suit raises, as the AMA detailed, is whether the technology in use is in compliance with the state and federal insurance regulations that govern payer decision-making on whether to approve claims or prior-authorization requests.

Perhaps the most important takeaway is automation and efficiency can’t come at the expense of someone’s health, and AI solutions are by no means a silver bullet for PA transformation.

Fixing PA Will Require Something Else Entirely: A Network Effects-Driven Platform

Neither information exchange nor AI will fix what ails today’s PA problem. Technical standards will help, but are not sufficient, as they leave a “many to many” inefficiency problem requiring every EHR system to connect and maintain integrations with every health plan system, and vice versa. And AI solutions deployed to improve the efficiency for providers or health plans miss a critical point: prior authorization is by nature a two-sided (not one-sided) communication challenge.

What the healthcare industry needs is a two-sided network platform business. Rather than selling technology or AI solutions to either side, the platform would work with existing technology systems on both sides to “talk” to each other. Reliant on network effects to create value, the platform’s primary job and business model would motivate it to facilitate connections and successful transactions between the thousands of different provider and payer end points, on one single network, and support those interactions in a way that creates value for all.

By utilizing a centralized health information network for PA, the healthcare industry would benefit from:

  1. Bringing the necessary technology and technical support, and oversight to the process;
  2. Engendering trust and transparency in support of better collaboration.
  3. A network operator that is incentivized to optimize the process and make sure all participants realize value
  4. Making the PA process more efficient, less time consuming, and more transparent for all parties involved.

A PA network could address the data variation issues between systems (provider and plan) that tend to doom PA requests from the start, while providing the tech support and oversight needed to optimize the process. Given that a platform business relies on network effects, PA network would also be incentivized to make sure the process is not only working well, but also delivering value to participants.

Having a network operator provides a layer of quality control and oversight, and even reporting capabilities to improve visibility into transaction efficiency and stakeholder responsiveness.

Surescripts, the nation’s largest health information network, presents an example of the power of such a dedicated network platform. The company provides both the technical infrastructure that serves as the information highway as well as the oversight, standards enforcement, quality control, governance and network support to ensure e-prescribing transactions are optimized — and that all participants using the network – providers, payers and PBMs – find value. The e-prescribing ecosystem powered by Surescripts now processes 90% of ambulatory prescriptions, and researchers estimate that e-prescribing has saved billions of dollars.

If Surescripts and e-prescribing are an example of the promise of what a PA network platform can do for the industry, it’s worth noting some of the similarities (and differences) between e-prescribing and prior authorization. Surescripts was founded in 2001 by industry participants, and benefitted from multiple federal incentive programs promoting physician adoption of e-prescribing. The company also leveraged existing technical standards, and worked collaboratively with pharmacies, PBMs and EHR systems to develop “rules of the road” in order to build trust in the system.

For prior authorization, there is no organization that was founded by health plans and providers to build a PA network platform. There are no federal incentives that have been proposed to drive adoption of electronic prior authorization, nor are there mature, widely used transactions. And getting providers and health plans to collaborate to build trust on this issue is a tall order.

A reason for optimism may be the immense pressure building as a result of frustrated patients, increased media attention on the problems, and legislative and regulatory scrutiny on prior authorizations. Referring to the impending confluence of these events, Rhyme’s Anstine notes “there’s a window of time for plans and providers to come together to solve this.”

For companies such as Rhyme, Stanson Health and others, the goal is to utilize platform business thinking to bring providers, health plans, and their systems together to improve the PA process. If they are successful in building real-time communication capabilities between providers and payers, perhaps that can begin to shift the often adversarial relationship between plans and providers.

Stanson Health is seeing green shoots, as the company now processes more than 2 million PA requests per year. As is Medical Mutual of Ohio, a health plan that recently began working with Rhyme. Christian Corzine, Vice President of Clinical Quality Health Services at Medical Mutual notes that its partnership with Rhyme helps “better aligns partners and payers in service of the member (patient).”

At the end of the day, both sides can agree their efforts are in service of the patient. Hopefully platform thinking will help both do so, while building trust as part of the process.

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8 questions CIOs should ask to prime their business for gen AI

September 30, 2023

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Home • Blogs • Accent Notes • 8 questions CIOs should ask to prime their business for gen AI

by Diana Bersohn and Lan Guan

8 questions CIOs should ask to prime their business for gen AI

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26 Sep 2023 • 7 mins

Application Management Artificial Intelligence CIO

Gen AI has captured the attention of companies worldwide with speed and force, and, in turn, has significant implications for business operations, models, products, and services. And business leaders are taking note.

Credit: getty

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So leaders will need to radically re-think how work gets done. And CIOs—given their cross-functional view of business processes coupled with an intimate understanding of how technology can be leveraged to reinvent operations and deliver value—are especially well-positioned to help their organizations become enterprise-ready for gen AI.

Yet leaders struggle to take the necessary next steps to get the technology off the ground. For instance, a recent report from Accenture Strategy found that 67% of senior tech leaders view a lack of tech-fluency among their peers as a major barrier to integrating technology into strategy development. Critical to getting this right is understanding and linking gen AI and innovation to enterprise success.

Integrating AI effectively into a business begins with setting clear objectives that define the business value and aligning the AI strategy with these overarching business goals. Many CIOs, already responsible for driving their company’s digital agenda, have begun doing so with gen AI front and center, tapping AI solutions that deliver on the most critical elements of the strategy. They recognize that building a strong foundational architecture is an essential first step on their organization’s journey to enterprise readiness—and one that will position the business to scale gen AI with maximum efficiency and effectiveness, and foster successful adoption across the enterprise. In fact, 98% of global executives agree AI foundation models will play an important role in their organization’s strategies in the next three to five years.

So, what can CIOs do now? In the process of designing our new AI Navigator for Enterprise—a tool to help guide clients on their AI journeys—we’ve identified the following eight questions CIOs should ask themselves to pressure-test whether their enterprise is gen-AI ready:

Which foundation model should we use? In other words, what architecture best ensures model outputs are relevant, reliable, and usable. The number of gen AI models and vendors is growing by the minute. Choosing one requires careful considerations to ensure it fits your organization’s needs and asks.

How should I make these models accessible for us? There are two principal approaches a business can take to deploy the models, each with its own merits. Will you need a “full control” option in which you access the models on your own public cloud, or do you plan to access gen AI as a managed cloud service from an external vendor, allowing for speed and simplicity?

How will we adapt models to our own data for consumption? AI, together with data, has become a key component of a robust digital core —the main source of competitive advantage for companies today. Getting maximum value from gen AI requires leveraging your proprietary data to bolster accuracy, performance, and utility within the enterprise. Consider the various ways you can adapt pre-trained models with your own data to create customized tools relevant for your organization and your people.

What’s our overall enterprise readiness? First consider your integration and interoperability frameworks. Are your foundation models secure and safe to use? The adoption of gen AI brings fresh urgency to the need for every company to have a robust and responsible AI compliance program in place. Adhering to laws, regulations, and ethical standards is imperative to build a sound AI foundation, as is administering controls to assess the potential risk of gen AI use cases at the design stage.

What about our carbon footprint? Foundation models, although they come pre-trained, can still use significant energy during adaptation and fine-tuning. How much, and the implications of it, depend on the approach taken to buy, boost, or build the foundation models. Left unchecked, this has the potential to cause consequential environmental impact, making it all the more important to weigh sustainable considerations up front in order to make the right choices for both the business and the environment.

How can we industrialize gen AI app development? The next step after choosing and deploying a foundation model is to consider what new frameworks may be required to industrialize and accelerate application development. Prompt engineering techniques are fast becoming a differentiating capability. By industrializing the process, you can build up a corpus of efficient, well-designed prompts and templates aligned to specific business functions or domains.

What do we need to operate gen AI at scale? The complexity that comes with upending existing processes and reinventing ways of working with new tech is its own challenge. But finding ways to monetize the value generated by AI at scale should be the question on every CIO’s mind. AI, by virtue of its capabilities, is fertile ground for fostering innovation. And CIOs, by virtue of their role, are well-connected across the enterprise fabric. Finding opportunities for cross-functional collaboration will lead to fresh insights and informed decision-making that promote open innovation both within your organization and across your industry, while unlocking new opportunities for growth.

Where do I start and how do we proceed to guide where we want to go? Generative AI-enabled productivity is the next major milestone. Software development is an area ripe for CIOs to make an impact. Dive in and share your use case to demonstrate your team’s real-world experience with tangible results from your pilot projects. For example, Accenture last year looked at how gen AI can help our software development team launch products faster. We used gen AI tools, like Amazon CodeWhisperer, and saw a significant improvement in developer productivity and code quality. Our overall release cycles were faster, which helped us deliver our new AWS Velocity platform in record time. By being your own case study, you can show how to make it real and guide the rest of the organization on where to experiment and test, move fast, and expand the usage quickly. You’ll be more equipped to guide your stakeholders on where technology can go, how fast you can move, and what results the organization can expect.

A new inflection point

Technology is paramount to achieving stronger growth, more agility, and greater resilience for every industry, with gen AI being the key differentiator. So much so that the technology is set to fundamentally transform work and life as we know it. Our research found that 40% of all working hours can be impacted by large language models (LLM). A closer look shows that in IT and technology roles specifically, 73% of total working hours can be transformed by gen AI, bringing to bear the importance of creating the right foundation for scaling gen AI securely, responsibly, cost-effectively, and in a way that delivers real business value.

CIOs have a significant opportunity to step up and help their business navigate the complexities of today’s rapidly transforming digital landscape. Using breakthrough advances in AI and a holistic approach to performance that looks across the entire enterprise, they can identify ways to make technology work for them in order to set new performance frontiers and redefine themselves and the industries in which they operate.

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It all begins with enterprise readiness, and CIOs hold the key to unlocking value to create the organization for tomorrow.

by Diana Bersohn

Columnist

Diana Bersohn is a managing director in Accenture Strategy - Technology. She is a leader in strategy and transformation, specializing in global IT operating models and large-scale business and technology transformations.

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Analysis: CrowdStrike’s Next Big Opportunity Is More About IT Than Security | CRN

September 30, 2023

With Falcon for IT, the cybersecurity giant is making its most ambitious move yet to become a larger player in the broader IT space. But the early interest appears even stronger than CrowdStrike execs had expected.

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Amid announcements in generative AI and cloud security last week, CrowdStrike turned a surprising number of heads by revealing a product in a decidedly less-buzzy area.

Oh, and also: The new tool is not even for cybersecurity teams.

During Fal.Con 2023 in Las Vegas, the company unveiled Falcon for IT — which taps into the same CrowdStrike technologies that’ve made such a mark in cybersecurity, but uses them to improve routine-but-critical IT tasks such as asset inventory and CPU utilization.

[Related: CrowdStrike’s 8 Biggest Announcements At Fal.Con 2023]

CrowdStrike has been working up to the announcement — its biggest foray yet into becoming a player in the broader IT space — for some time now. Still, executives including CEO George Kurtz actually sounded a bit surprised at just how strong and immediate the reaction was to the idea. Within just a few hours of Falcon for IT’s reveal, Kurtz said he’d already received “a lot of feedback” about the offering.

“That one,” Kurtz told a handful of reporters at Fal.Con, “got people really excited.”

CrowdStrike President Michael Sentonas had a similar experience, it seems. “I got pummeled with emails from a lot of people in this room yesterday, saying, ‘We want to try it out. We want to deploy it,’” Sentonas said of Falcon for IT, a day after the announcement of the offering.

CrowdStrike partners such as Jordan Hildebrand of World Wide Technology were no less enthusiastic.

“With something like Falcon for IT, you’re knocking down that wall between the security team and IT — which I think is going to be an incredible story,” Hildebrand, practice director for detection and response at St. Louis-based WWT, told me last week.

‘Tanium On Steroids’

The opportunity for CrowdStrike to expand into the wider IT space intuitively makes a lot of sense.

The company already has its Falcon software agent on a massive number of endpoint devices at its 23,000 customers (a figure that is almost certain to swell as it reaches into the SMB market with the help of an army of MSPs).

Among other things, what that means is that CrowdStrike is doing the sorts of data collection that could be relevant to the IT side of the house, anyway, executives said during Fal.Con 2023.

“If IT already has a security agent, why not allow that architecture — that single-agent architecture, the ability to collect data at scale, the ability to take action — why not make that power available to the IT group?” Kurtz said during his keynote session.

“So the goal here is, IT can manage policy, deploy software and make real-time orchestrated changes across their fleet of systems,” he said. “So if you want to put this in perspective, think Tanium on steroids. That’s what we’re delivering in a single agent — not only security prevention, but the ability for IT groups to ask and answer questions across their fleet.”

The question-and-answer functionality will be enabled through CrowdStrike’s generative AI-powered assistant, Charlotte AI, as Kurtz demo’ed during his keynote.

After seeing some of the expected uses for the new Falcon for IT offering, it’s not hard to see that CrowdStrike could be on to something here.

At the top of the list is asset inventory — an area where an array of other vendors, including the aforementioned Tanium, already offer products. However, at present, “no one’s doing it great in the market,” said Larry Pfiefer, founder of Consortium Networks, a Medford, N.J.-based CrowdStrike partner.

Other needs that Falcon for IT can help with include determining CPU utilization on devices, which can impact performance, and assessing software utilization. Along with meeting basic-but-critical IT needs, those capabilities can help organizations with cost reduction.

This may turn out to just be a sampling of the potential Falcon for IT use cases.

Broad Uses In IT

CrowdStrike’s Falcon technology is primed for an array of possible IT uses, thanks to its “lightweight agent that runs on pretty much anything that computes — [with] the ability to bring high-fidelity data back to a central location,” said Curt Aubley, cyber and strategic risk groups managing director at Deloitte.

“Once you can do that, it opens up so many different options,” he told me. Falcon for IT, Aubley said, “has a lot of great potential.”

Over time, CrowdStrike has built capabilities that are highly applicable to IT, said Raj Rajamani, chief product officer for data, identity, cloud and endpoint at CrowdStrike. Those include real-time response (RTR), which enables scripts to be run in parallel on hundreds or thousands of systems, he said.

Meanwhile, CrowdStrike gained log management capabilities through its 2021 acquisition of Humio, now known as Falcon LogScale. “When we started giving customers the ability to take the output of RTR and plug it into LogScale, the lightbulb went off,” Rajamani said.

The combination enables monitoring and analysis of devices in a range of ways that’s useful to IT teams, he said. Some customers figured this out, in fact, and “we started seeing customers organically starting to build Falcon for IT,” Rajamani said.

“That led us to wonder, ‘What might it take for us to actually provide an out-of-the box experience for customers, without them having to build it?’” he said.

Other Falcon for IT uses that are within reach include application performance monitoring, Rajamani said. CrowdStrike’s planned acquisition of Bionic also gives the company additional application-level visibility that could augment Falcon for IT’s ability to identify IT bottlenecks, he said.

Displacing RMM?

For yet another example, remote monitoring and management (RMM) tools could also potentially be displaceable with the Falcon for IT technology.

“That was the first place that my mind went — this could be used as a displacement of all the RMM tools that are out there,” said Nick Heddy, chief commerce officer at cloud-focused distributor Pax8, in an interview. “And that’s not exactly what it was built for. But that is a massive, massive TAM [total addressable market].”

Indeed, RMM makes a lot of sense as an eventual Falcon for IT use case, CrowdStrike Chief Business Officer Daniel Bernard told me.

It’s also one more indicator of just how disruptive CrowdStrike’s IT push could be. “You know you have a platform when people think of new use cases for your technology, that you didn’t even think of,” Bernard said.

In our recent interview, Kurtz told me that CrowdStrike already is going after a more than $100 billion TAM just for cybersecurity. “If you add IT as a new pool of dollars,” he said, the total addressable market becomes even more “massive.”

“We think the ability to leverage this agent is really valuable beachfront that we have. Customers want to do more with less. They want less agents,” Kurtz said. “We’ve got the most-efficient and capable agent out there—it just happens to be that we deliver security through it. But it doesn’t mean that we can’t deliver other IT outcomes using our technology.”

Bridging The Divide

Not that CrowdStrike is taking its eye off the ball on its “we stop breaches” mission. Along with the acquisition deal for Bionic to augment CrowdStrike’s cloud security capabilities, the slew of Fal.Con product announcements included the launch of an exposure management offering and a significant new release of its Falcon platform.

With the forthcoming Falcon release — referred to as “Raptor” to signify that it’s a major update to the platform — CrowdStrike has brought in numerous new capabilities, including the ability to natively ingest data from third-party tools. That allows Falcon to treat CrowdStrike data and third-party data exactly the same, leading to better visibility and correlation of threats across tools using CrowdStrike’s XDR (extended detection and response) technology, executives said.

Increasingly though, you can expect to see CrowdStrike working to enable not just the cybersecurity pros out there, but also to bridge the long-running divide with the IT side.

With Falcon for IT — expected to be generally available in early 2024 — Kurtz ultimately believes CrowdStrike has a unique approach that “can help both teams get along.”

Buzzworthy or not, that’s the sort of innovation the industry could use a whole lot more of right now.

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Why Transcarent Launched a National Independent Provider Ecosystem

September 30, 2023

Wow, it seems like a lot longer, but it was Tuesday, only three days ago, when we launched the National Independent Provider Ecosystem.  Lots of excitement and a lot of questions that I’ve been answering all week.  Most exciting was that people knew something had changed! 

Why did you do this?

One of the most common questions was: why did you do this?  You already have the largest number of high quality Centers of Excellence and ambulatory surgery centers --- over 300 COEs covering over 830 access points. The answer is that our announcement and the contractual agreements we have with ten of the largest, highest quality providers / health systems  in the country (along with a pre-existing agreement with our long-time partner Rush University System for Health ) give us a unique opportunity to deliver a new and better health and care experience for our Members (people who work for our clients and their families), truly improve care and clinical outcomes, and do all of that with consistent, transparent, and very competitive pricing. Competitors may say they have something similar . . . they can’t, they don’t, they won’t. One- time agreements are not relationships and don’t result in win-wins.  And simply focusing on the lowest cost for a procedure is not a good way to lower overall healthcare costs. Judging by the response to our announcement, our ecosystem will only continue to grow. We already have a number of high-quality organizations waiting to be added.

What may be unique is that we’ve worked hard to structure agreements that deliver meaningful benefits for self-insured employers and their employees,  but also for health systems/providers. This didn’t happen overnight. We began with a unique relationship with Rush System for Health, where we explored what real relationships with high quality providers could look like. And we learned a lot.  And then our team spent the better part of the last year working with leading health systems around the country on how to create the next generation of Centers of Excellence.

Quality

We started with quality. People ask me all the time if we have the lowest prices?  I tell them we have the highest value. We start with quality and work with the top quartile of doctors and of facilities.  Not everyone.  And we surround that statement with a quality process unlike any other. We partnered with @Aneesh Chopra at CareJourney . He and his team built something special including the most comprehensive and transparent physician quality, efficiency, and appropriateness measurements we have seen in the market. It covers detailed physician classifications, episode cost benchmarks, and quality measures, in addition to scoring for physicians, practices, and facilities in commercial markets across the country.  And then I ask our Chief Medical Officer, @Dr. Randy Hawkins, to put a process in place based on his years of experience in many roles in healthcare.  We wanted a process we trusted for our own families. 

Information and Access

If you want to make it easy for people to access high quality health and care, you have to make it easy for them to access the information they need (Provider Search on our platform), then access the care (Care in 60 seconds, with a single touch, available today on our platform or, if you prefer in person, locally at one of our partners), and they have to be able to afford it.  Well, a lot of our employers are making care free, waiving co-pays and co-insurance (the largest cause of bankruptcy in our country) if people use the Transcarent Experience. Now that’s something different. 

Creating Win-Wins . . . We’re betting on health systems!

People also ask me, why are you betting on Health Systems and on Providers?  When someone asked Willy Sutton, the famous bank robber, why he robs banks, he said, “because that’s where the money is.”  Why am I betting on health systems and providers? It turns out, they do the work we need to keep us all healthy and we need to keep them healthy. That means paying them, when they deliver the care, just like you pay a restaurant when you have a high quality, nourishing meal delivered with great service. You even provide a tip. You don’t wait 30, 60 or 90 days or longer to pay them and you don’t start negotiating what the meal should cost after you’ve consumed it. And you trust them to deliver quality.  You also measure that restaurant and may use outside metrics, like Yelp, to see what other people say.  So do we. 

So, tell me again, why are we different?  We’re paying systems the day they deliver care, sharing our value based rewards with them, and they are providing preferred access to our Members and working with us to design new value-based pathways for better care.

There’s a lot more to what we’re about. It’s new, it’s different, and it’s better.  One Place for Care: Care in 60 Seconds, Pharmacy Marketplace, Care @ Home (or close to it), SurgeryCare, and ComplexCare (beginning with our oncology experience).

And this will surprise you as well. We’re partnering with employers, their employees, health systems, and yes, payers too. Anyone who wants to make it easier for our Members --- people like you and your family --- to access high quality, affordable care. 

The announcement was an important day for our Health System/Providers, our Clients, our Members, and for Transcarent . . . the One Place to go for Health and Care. The future will be even brighter! 

Read about it:  https://transcarent.com/test/transcarent-launches-national-independent-provider-ecosystem

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AI And Standards Aren’t Enough: Fixing Prior Authorization Will Require Something Else Entirely

September 30, 2023

By leveraging a purpose-built two-sided platform, healthcare will finally have the technology fix to address the root of the PA problem.

The need to fix healthcare’s antiquated prior authorization (PA) process remains a hot-button issue in the industry, garnering policy attention and spurring the development of myriad technology solutions aimed at upending some part of the wildly inefficient, burdensome process. Unfortunately, today’s existing technology “fixes” and regulatory efforts are an insufficient drop in a very deep bucket – one that can only be filled with an entirely new solution.

prior authorization causes burnout and frustration. Health plans view prior auth as a tool to ensure physicians practice evidence-based care. A real-time communication platform is needed to improve the process and rebuild trust.

getty

Only by creating a dedicated health information network for PA – similar to the way a national network was built for e-prescribing – can the healthcare industry hope to fix the deficient PA process and address what’s really at the root of all PA problems: a lack of visibility/transparency and a lack of trust.

PA is generally demonized by physicians and patients alike, seen as an unnecessary layer of administrative oversight that undermines a physician’s clinical judgment and keeps patients from getting timely care. Payers, on the other hand, view PA as their primary mechanism for managing costs and reducing low-value or inappropriate care upstream.

Unsurprisingly, many providers feel PA is doing more harm than good. Nearly all – 89% – provider respondents to a 2021 American Medical Association survey said PA had a somewhat or significantly negative impact on clinical outcomes, where 86% of physicians reported that PA leads to ineffective initial treatments (step therapy) or additional office visits.

Importantly, neither payers nor providers are wrong in their views. But, it’s important to recognize that the root of the PA problem stems from the complete lack of trust between payers and providers and the fractured nature of the healthcare delivery system.

Payers don’t trust that providers are making optimal, appropriate, high-value care decisions, mainly because payers have no visibility into the care process or into why certain decisions are being made.

These concerns aren’t unfounded. A 2011 study from the American Clinical and Climatological Association projected that the amount of medical knowledge would double every 73 days by 2020, making it impossible for physicians to stay on top of new findings, innovative care options or changes to medical guidelines. According to a 2022 Journal of Internal Medicine study, primary care providers would have to practice medicine for nearly 27 hours per day to keep up with the latest guidelines. There is also a high-degree of care variability that exists from institution to institution, and physician to physician.

On top of the challenges that come with being a human being that can only ingest so much information at a time, providers simply don’t trust that payers are putting the needs of patients above plan profits. Many providers see plans as nothing more than money-hungry bureaucrats, wielding their hammer of “no” through PA, and creating unnecessary administrative obstacles that pull clinicians away from clinical workflows and keep patients from getting care in a timely manner.

Benjamin Schwartz, a practicing orthopedic surgeon in the Greater Boston area, recently penned his thoughts about the two-sided PA coin, noting that, “As much as docs universally despise UM/PA, the reality is that there is another side to the coin — low value care exists to a bigger degree than we docs might like to admit. There are a multitude of reasons why, but to deny this is disingenuous.”

Schwartz goes on to say that while he doesn’t believe PA is the best way for payers to manage low value care – “the collateral damage is too high” – he’s not sure what the fix to the problem is. “Maybe it's gold cards. Maybe it's some form of (gulp) value-based care. Probably it's something else entirely.”

Proposed Standards May Miss The Boat

While gold carding and value-based care may help improve certain aspects of PA processing, Schwartz’ inkling is right. The industry does need “something else entirely” in order to improve PA at scale – especially as some of the latest tech-focused policy proposals are causing confusion, and even bringing the two typically at-odds sides together to express their concern.

In a letter to the Centers for Medicare and Medicaid Services (CMS) in July, the American Hospital Association (AHA), American Medical Association (AMA), the Alliance for Health Insurance Plans (AHIP) and the Blue Cross Blue Shield Association wrote that two proposed rules, each focused on information exchange standards, were at odds with each other and would cause more than just confusion if passed.

Introduced in December 2022, the Administrative Simplification rule and the Interoperability and Prior Authorization rule, if finalized, would “set the stage for multiple [prior authorization] electronic standards and workflows and create the very same costly burdens that administrative simplification seeks to alleviate,” the letter stated.

On top of these contradictions, the information exchange standards don’t do anything to address the incredible variation and variety of the information being exchanged, or take into account how data will have very different meaning/context for providers as opposed to payers.

authorization technology platform

Joe Anstine

“EHRs have created a business that allows providers to customize workflows, with a high degree of customization and fragmentation,” says Joe Anstine from Rhyme, a technology platform that integrates and normalizes data from provider EHR systems and payer case management systems to enable the exchange and decision of prior authorization in real-time.

The incredible variation in EHR data effectively blocks it from flowing out to payers, says Anstine, on top of the issue that these data have very little meaning or context for payers on the receiving end. Neither of these problems are issues that the proposed standards consider, let alone address. “Until we solve the data clog and interpretation problems, we’re going to see very little progress.”

Innovation Is Happening, Kinda

Ill-equipped data exchange standards aside, innovation in the PA space is happening, with many solutions providers embracing AI as the PA fix.

According to a McKinsey analysis, AI-enabled prior authorizations can automate up to 75% of manual tasks. This potential is why many tech companies, including giants like Google, Microsoft, and IBM, are betting big on generative AI solutions to improve efficiency and reduce the time and cost burden of manual PA processing for providers and payers.

Announced at the company’s latest user group meeting (UGM), Epic is deepening its partnership with Microsoft to accelerate generative AI-powered 'copilot' tools to help clinicians save time on PA requests. Speaking to UGM attendees, Microsoft CEO Satya Nadella described generative AI as the result of "two breakthroughs" that happened simultaneously — natural language capabilities and a reasoning engine to gain insights from data.

of Premier

Ryan Nellies

At Premier, one of the country’s largest group purchasing organizations representing more than 4,400 hospitals and health systems, addressing the burden of prior authorization is a priority. The company in 2018 acquired Stanson Health, a technology company providing clinical decision support tools that are integrated into providers’ EHR systems. As Stanson Health’s Ryan Nellis explains, “Prior authorization is clinical decision support. It’s a set of rules, based on evidence. It’s just frustrating because it happens after the fact, and makes everybody [providers and patients] wait until it’s resolved.”

Nellis touts the company’s novel approach, in which it ingests prior authorization rules from partnered health plans and applies those rules within a provider’s EHR workflow, as a key reason the company has seen its technology deployed to more than 1,000 hospitals.

Blue Shield of California

Lisa Davis

Health plans, for their part, are also embracing AI capabilities to improve PA processing. Blue Shield of California’s pilot program with Google Cloud, for example, is leveraging AI and machine learning technologies to help expedite the PA process. But as Lisa Davis, senior vice president and chief information officer at Blue Shield of California, noted, “There will always be a need for humans. Artificial Intelligence will never be the be-all end-all” said Davis. “It is an enabler. It's a tool. You have to have people involved in the system that provide that oversight and quality of care.”

As with all things shiny and new in healthcare, especially when introducing automation to care decision-making, the industry must proceed with caution. Take the class action lawsuit brought against health insurer Cigna in July, which alleges Cigna’s PA screening algorithm was developed “to systematically, wrongfully, and automatically deny” its members of a physician’s review of PA requests as “guaranteed to them by California law.”

The issue this suit raises, as the AMA detailed, is whether the technology in use is in compliance with the state and federal insurance regulations that govern payer decision-making on whether to approve claims or prior-authorization requests.

Perhaps the most important takeaway is automation and efficiency can’t come at the expense of someone’s health, and AI solutions are by no means a silver bullet for PA transformation.

Fixing PA Will Require Something Else Entirely: A Network Effects-Driven Platform

Neither information exchange nor AI will fix what ails today’s PA problem. Technical standards will help, but are not sufficient, as they leave a “many to many” inefficiency problem requiring every EHR system to connect and maintain integrations with every health plan system, and vice versa. And AI solutions deployed to improve the efficiency for providers or health plans miss a critical point: prior authorization is by nature a two-sided (not one-sided) communication challenge.

What the healthcare industry needs is a two-sided network platform business. Rather than selling technology or AI solutions to either side, the platform would work with existing technology systems on both sides to “talk” to each other. Reliant on network effects to create value, the platform’s primary job and business model would motivate it to facilitate connections and successful transactions between the thousands of different provider and payer end points, on one single network, and support those interactions in a way that creates value for all.

By utilizing a centralized health information network for PA, the healthcare industry would benefit from:

  1. Bringing the necessary technology and technical support, and oversight to the process;
  2. Engendering trust and transparency in support of better collaboration.
  3. A network operator that is incentivized to optimize the process and make sure all participants realize value
  4. Making the PA process more efficient, less time consuming, and more transparent for all parties involved.

A PA network could address the data variation issues between systems (provider and plan) that tend to doom PA requests from the start, while providing the tech support and oversight needed to optimize the process. Given that a platform business relies on network effects, PA network would also be incentivized to make sure the process is not only working well, but also delivering value to participants.

Having a network operator provides a layer of quality control and oversight, and even reporting capabilities to improve visibility into transaction efficiency and stakeholder responsiveness.

Surescripts, the nation’s largest health information network, presents an example of the power of such a dedicated network platform. The company provides both the technical infrastructure that serves as the information highway as well as the oversight, standards enforcement, quality control, governance and network support to ensure e-prescribing transactions are optimized — and that all participants using the network – providers, payers and PBMs – find value. The e-prescribing ecosystem powered by Surescripts now processes 90% of ambulatory prescriptions, and researchers estimate that e-prescribing has saved billions of dollars.

If Surescripts and e-prescribing are an example of the promise of what a PA network platform can do for the industry, it’s worth noting some of the similarities (and differences) between e-prescribing and prior authorization. Surescripts was founded in 2001 by industry participants, and benefitted from multiple federal incentive programs promoting physician adoption of e-prescribing. The company also leveraged existing technical standards, and worked collaboratively with pharmacies, PBMs and EHR systems to develop “rules of the road” in order to build trust in the system.

For prior authorization, there is no organization that was founded by health plans and providers to build a PA network platform. There are no federal incentives that have been proposed to drive adoption of electronic prior authorization, nor are there mature, widely used transactions. And getting providers and health plans to collaborate to build trust on this issue is a tall order.

A reason for optimism may be the immense pressure building as a result of frustrated patients, increased media attention on the problems, and legislative and regulatory scrutiny on prior authorizations. Referring to the impending confluence of these events, Rhyme’s Anstine notes “there’s a window of time for plans and providers to come together to solve this.”

For companies such as Rhyme, Stanson Health and others, the goal is to utilize platform business thinking to bring providers, health plans, and their systems together to improve the PA process. If they are successful in building real-time communication capabilities between providers and payers, perhaps that can begin to shift the often adversarial relationship between plans and providers.

Stanson Health is seeing green shoots, as the company now processes more than 2 million PA requests per year. As is Medical Mutual of Ohio, a health plan that recently began working with Rhyme. Christian Corzine, Vice President of Clinical Quality Health Services at Medical Mutual notes that its partnership with Rhyme helps “better aligns partners and payers in service of the member (patient).”

At the end of the day, both sides can agree their efforts are in service of the patient. Hopefully platform thinking will help both do so, while building trust as part of the process.

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