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In the News

CloudWorld 23 - Oracle ready to deploy national healthcare databases from next month

September 24, 2023

(© Syda Productions - Shutterstock)

This time last year, Oracle co-founder and CTO Larry Ellison took to the stage at the vendor’s annual user event in Las Vegas and said that his vision for the company’s acquisition of Cerner is to aggregate healthcare data at a national - or even global - level to improve patient care. Ellison’s plans for national healthcare databases would put patients at the center of the healthcare system, he said. 

This year, Ellison built on that vision and described how continuous collection of centralized healthcare data, built on Oracle’s Cloud Data Intelligence Platform, could help to provide personalized care and allow doctors to make better medical decisions. And according to Oracle’s VP of Industries, Mike Sicilia, the company is ready to start deploying national healthcare databases as of next month (October 2023). 

Not only that, but Oracle is prepared to build new data centers to help national governments pursue this. Sicilia said: 

In October, we're ready to deploy the national databases for any country that wants to take it. It launches on OCI in sovereign form, meaning the data will never leave the borders of the country that wishes to consume it.

If we have to go and build data centers in the country to do that, we will do that. 

It’s a bold strategy, but Oracle appears willing to invest where there is demand. Other conversations with execs have highlighted how it is able to do this cost effectively because Oracle has standardized on its systems, which has allowed for a high degree of automation. This means that building a new data center in any region, according to Oracle, is more cost effective than what might be the case for other cloud hyperscalers. 

Sicilia said that whilst Oracle is happy to take a piecemeal approach to the adoption of its healthcare systems, targeting individual buyers, the strategy is at a federal or national level. He added: 

I think the federal and national governments are the focus right now. The strategy is that we are going to put a national database in place, but it doesn't necessarily require any of the contributors to that national database to change any of their systems. The strategy is you've got to meet people where they are. 

You're not just going to flip out everybody's operational systems and everybody's databases today. It's a federated strategy, where you come in and we federate what they already have in place today. 

We did this for the United States government during COVID-19, where we federated all the vaccine delivery on the supply chain systems into a single database and didn't change out anything.  

I think that strategy worked incredibly well and then over time, the providers probably will change out their operating systems, because as they feed these national systems, which is an automated process, they'll see some of the new UI, some of the new user experiences, the analytics 

Sicilia said that the reason governments may find Oracle’s national healthcare database ambitions appealing is that COVID-19 exposed a lot of weaknesses in the system, where access to real-time data was difficult. The fear of new infectious diseases and the possibility of another pandemic in the future could be a real motivator for a change in how governments think about healthcare delivery, he added. 

In addition to this, Oracle’s hope is that because it can take on the entire stack of healthcare delivery, both with Cerner’s electronic healthcare record (EHR) systems, and Oracle’s other backend operational systems, that more demand will flow its way. Sicilia said: 

We’re going to solve the whole whole problem with healthcare. The reason that we think others have tried and not been as successful as they could in healthcare, is because they only took on a piece of the problem. They only took on EHR, they only took on billing, they only took on financials, they only took on HCM. We’re going to take the whole thing on.

We have healthcare specific versions for supply chain, for HCM and for ERP, and we're delivering that as a full stack in concert with our electronic health records. 

Sovereignty a priority

Oracle is very aware that to achieve its ambitions it needs to take data sovereignty seriously. Data protection regulations are stringent for many governments, but when it comes to healthcare, patients are also very protective over who has access to their data, where it sits and where it can be moved to. 

As noted above, Oracle is taking the view that if it needs to it will build data centers to make this workable for its customers. Sicilia notes that data sovereignty is the biggest barrier to adoption. He says: 

When it comes to healthcare information, it doesn't matter how big or how small the country is, I haven't met a government yet that’s a fan of saying ‘I'd love to have my healthcare data live in another country’. Even if it's an ally, even it's a friendly 

What's been the barrier is that other hyperscalers have been unwilling to invest in building fully sovereign data centers in some countries. What we're saying is we'll build it and we'll be fully sovereign.

Some say ‘we'll have a datacenter for you, but the DR (disaster recovery) is somewhere else’. If the DR is somewhere else, it's not sovereign. We're saying we will build full DR, full data centers in-country, separated by 75 kilometers, or whatever you're comfortable with, with our full stack on top of that. Otherwise, they're gonna have to choose an on premise solution, which is far less attractive. 

The other barrier to adoption, as Sicilia sees it, is that because there has been a lack of cloud technology available to healthcare providers, change management requires significant work. Buyers will need to get their head around the fact that the software gets updated automatically four times a year, and training will have to adapt to this. He adds: 

As a healthcare provider you need to completely rethink the way you train people and you need to move to a more agile, iterative training process. 

Oracle will also be aggressive on pricing, it seems. I put it to Sicilia that another barrier to adoption could be that purchasers of EHR and backend systems may come from different teams and have access to different sources of funding - the strategy isn’t always a unified one when it comes to healthcare provision. He said: 

You can still have two different buyers, you can still have different experiences, but wouldn't it be nice to be able to say, we're gonna keep these on common upgrade cycles, we're going to keep these on a common subscription and we know exactly how much we're gonna spend next year? 

We can deliver every aspect of what they need and we can give you an all-in price for everything you spend. And generally, it's saying, how many pounds are you spending on IT today? We can do it for X. Even if you're running disparate systems, different buyers, different personas. 

Another benefit of this all-in approach, according to Oracle, is that cybersecurity could be improved. Sicilia noted that healthcare organizations are a major target for bad actors - which has been evidenced by a number of high profile attacks - and that by ring-fencing everything into a common cloud perimeter, healthcare data could be safer. He said: 

Having a single perimeter defense is far better than having a bunch of different perimeters today. Particularly when you get into the smaller community hospitals, rural hospitals, where you just don't have a lot of sophistication in the IT stack. It's incredibly expensive to go try to ring fence very old stuff, you’re far better off lifting and shifting it to something like OCI. 

Asking the wrong questions

One of the examples Oracle showcased at CloudWorld this year was its voice digital assistant, which can be complemented by generative AI. The idea being that a health practitioner could use their voice and say ‘show me this patient’s x-rays and highlight the problems for me’, and then if the patient consented to the appointment being recorded, generative AI could provide a summary of the session for approval by the doctor. 

I put it to Sicilia that a lot of healthcare providers are still struggling with much simpler problems - such as the amount of time it takes to turn on a computer and log on - and that the thought of using generative AI or biometric tools is a long way off. He agreed, but said that it’s Oracle’s job to educate on how quickly the technology is progressing and just considering small efficiency savings is a missed opportunity. He explained:

They're asking us to go from 10 clicks to seven clicks, to get that 30% efficiency increase. But as we looked at the problem, and we looked at generative AI and voice navigation, I think we can do better. I think we can eliminate clicks altogether. 

I think we go from 10 clicks to zero clicks. They’re asking if we could increase the logout timeout to 30 minutes, to cut down the number of times they have to log on in a day. That saves 10 minutes in the day, which is 10 patients. 

We've come up with a system which says: what if we just use your voice as the biometric identifier? What if we basically use a biometric identifier, your voice, and you never have to log into the system again? And then as long as the patient consents to recording, you have persistent recording, and you’re provided with a summary, all the data is summarized using generative AI, and there's a draft for the doctor. Then all the doctor has to say is yes or no. 

There’s a disbelief…going from 10 clicks to seven clicks three years ago would have been a very logical request - but I think people need to understand the art of the possible. It’s a remarkable moment. My job has always been in technology, since I left university a long time ago, and I've never seen a breakthrough as big as this with generative AI. 

Generative AI is the single biggest breakthrough in terms of productivity for healthcare workers. 

My take

Oracle’s healthcare strategy and its ambitions are incredibly bold and very interesting to hear. For those of us that have been following healthcare technology for years, what they are talking about has been a dream of healthcare providers - but is something that has failed to materialize for a number of reasons. None of them really to do with technology. There are numerous stakeholders involved in healthcare provision, which often have conflicting thoughts on how to deliver what’s needed. There are local needs and requirements, which often don’t fit into national frameworks of a ‘desired endpoint’. And, of course, patients are very, very cautious about centralized healthcare data. 

That being said, COVID-19 changed the goalposts a lot and there is a renewed desire in the market to do things differently. Equally, Oracle does seem to be wanting to meet healthcare providers where they are and address the different demands head on. The strategy is there, Oracle is ready to go, and now we will wait and see if it pays off. If Oracle is telling us this time next year it has deployed national healthcare databases for  various countries, it will be a clear win for the foundations Ellison and his team have laid down. We will be watching closely. 

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7 AI Pitfalls That Hospitals Should Avoid

September 24, 2023

From left to right: Suchi Saria, CEO of Bayesian Health and machine learning researcher at Johns Hopkins, and Sam Glick, global leader of health and life sciences at Oliver Wyman

For more than a decade, Big Tech companies and startups have heralded AI’s potential to solve healthcare’s problems. However, the remedy for the industry’s pressing workforce shortage and financial challenges proves to be far more intricate than merely embracing the allure of shiny new technologies.

As hospitals across the nation adopt more and more AI technology, there are some common hazards of which they should be wary, according to healthcare AI expert Suchi Saria, a machine learning researcher at Johns Hopkins and CEO of Bayesian Health, a clinical AI platform she founded in 2021. 

On Tuesday at Oliver Wyman’s Health Innovation Summit in Chicago, Saria laid out seven AI pitfalls hospitals should look out for.

Allowing Big Tech marketing campaigns to dictate your strategy

Saria has seen many hospitals succumb to vendors’ deceptive portrayals regarding the capabilities of their AI technology, she said in an interview the day after her presentation. In her view, hospitals need to have a resolute AI strategy of their own instead of latching on to these companies’ AI strategies. 

“Healthcare is a business where health systems don’t want to originate a strategy because they’re risk averse. They want to be part of a consensus group with some strategy,” Saria declared.

In the midst of the generative AI hype cycle that has taken the digital health world by storm, people seem to be grouping every piece of AI under the umbrella of generative AI, she pointed out. With this massive emphasis on generative AI, hospitals across the country are eager to adopt this technology — but not all of them understand why they should be implementing these tools. Before they go all in on generative AI tools, hospitals need to dig deeper into understanding why the recent advancements in generative AI are important to the healthcare field and what types of new problems this technology can solve, Saria stated.

Assuming AI isn’t ready for deployment at scale

Some more old-school healthcare stakeholders are still a bit wary of AI’s deployment in healthcare settings, but Saria asserted that most healthcare AI is ready for hospitals to use — with one big caveat.

“Doing it right is the caveat. AI done right is ready for primetime. AI done right means understanding the problem and the value chain you’re delivering, that the solution is designed with a deep understanding of the problem in mind, and you have metrics and rubrics for measuring performance, safety and bias,” she explained.

Doing it all by yourself

In order for healthcare AI deployments to be successful, the project team needs to have personnel with deep expertise on both the technical and clinical sides of things, Saria noted.

“IBM Watson is an excellent example. It had amazing technology — proven in the context of Jeopardy! — but extremely little experience in healthcare. It partnered with some of the leading systems in healthcare, like MSKCC and MD Anderson, but these partnerships didn’t get anywhere because the two sides were too far apart,” she said.

Confusing AI with automation software

Some health system leaders are still underestimating the power of AI, Saria argued. She denounced the notion some people may have that AI models are simply just pieces of software that can automate some of healthcare workers’ tasks.

Saria said part of the reason she loves AI is because it can truly act as clinicians’ copilot. When developed well, AI models can work alongside clinicians and cause them to interact with data in completely new ways, she explained.

Sitting idle and waiting for the perfect plan

If health systems sit around and wait for the perfect moment to start a new AI project, they will never make any progress, Saria warned. The hospital world is facing immense pressures — from a sweeping labor shortage to declining patient volumes to tight financial margins — and leaders need to abandon some of their risk aversion to solve these problems, she declared. 

She recommended that hospitals identify opportunities for quick wins while designing their future workflows with AI in mind.

Underinvesting in learning by doing

Sometimes hospitals underestimate how powerful of an asset their workforce is, Saria said. She recommended that health systems involve their staff members in the AI implementation process as early as possible.

“Even if I found the perfect plan, I cannot execute on this plan until my people are ready and my people are part of the solution,” she stated. “You might have to rely on your clinicians to give you feedback. That way, you can have a smoother rollout once they have used the technology a little bit and learned by having it in their daily workflows.”

Separating clinical and administrative

Many hospitals are interested in the AI tools sold by Big Tech companies, and these firms often tell providers to start out by using their technology in administrative use cases rather than clinical ones, Saria pointed out. This is seen as less risky by Big Tech companies, which don’t always have deep clinical expertise, she explained.

However, providers can’t solve their biggest problems if they focus their AI strategy on administrative use cases — after all, the core mission of healthcare is care delivery, Saria said.

“David Britchkow, who is the CEO of UnitedHealth Group, yesterday said to me that ultimately, administrative is only 10% of costs. We can do all the work in the world and the maximum bang we can get is up to 10%. We have to figure out ways to take costs out, streamline, improve and make progress on the remaining 90%,” she declared.

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"Care about Change Management": Recommendations for New Applied Clinical Informaticists, Part 1

September 24, 2023

Dirk Stanley, MD, CMIO, UCoon Health

Hi fellow CMIOs, CNIOs, and other Applied Clinical Informatics and #HealthIT friends,

Today I thought I’d share the first ten (of 20) strong suggestions I put together into slides for other Applied Clinical Informaticists, or those considering a career in the field. I’m hoping this helps shed light on the importance and value of this role in modern healthcare, and how it helps to evaluate, implement, and maintain clinical technology and content.

First, my number one piece of advice to newcomers: Always map the current-state and future-state workflows. While some might argue this is an unnecessary step, this exercise will benefit you in some very important ways:

  • It will help you understand and relate to your end-users.
  • It will help you determine just how much work it takes to get from your current state (Point A) to your future state (Point B), which is necessary to help plan and allocate resources.
  • It will help you develop blueprints, develop downtime forms, identify stakeholders, and scope/prioritize your projects.

For my second recommendation, I’d like to share how to write a good task, and then a good procedure. Learning to write a good task and procedure is so instrumental in building or untangling workflows, that it can even be used as a quick substitute for swim-lane diagrams (e.g., when trying to quickly document a workflow during a video chat with clinical end-users).

Recommendation number 3 involves something that sounds dull, until you learn about how it impacts your infrastructure and operations: document management. Learning how to create, edit, and archive documents can actually be a very powerful way of shaping or augmenting workflows in your electronic medical record. My mantra for newcomers: “Learn to control your documents, before they control you.”

My next recommendation (number four) is to learn the basic structure of healthcare operations by understanding the relationship between Administrative, Academic, Research, and Clinical Enterprises (Note: smaller community hospitals typically only have Academic and Clinical enterprises.)

In short, Administration supports the needs of the Academic, Research, and Clinical Enterprises. Learning how to navigate the people in these areas will help you break down silos, untangle workflows, and improve collaboration.

Coming in at number five is my recommendation to care about hard work, details, and precision. “In healthcare, there are no shortcuts.” While timelines are short, and there is often pressure to move ahead, try to resist the temptation to serve workflows that are not complete. (They may get you across the project finish line, but you risk having to do the whole project again — especially if end-users are not satisfied with the results.)

Recommendation number six might come as a surprise to some: When working in a team, file-naming conventions really matter. Group files should be both easy-to-find and easy-to-identify. My own personal favorite:

DRAFT/FINAL – ARCHETYPE – Descriptor – Created/Updated/Approved mm-dd-yyyy.ext

To offer some clarification:

  • DRAFT/FINAL = Use ‘draft’ for documents in development, and ‘final’ when approved
  • ARCHETYPE = Describes the file type (e.g. Education, Budget, Order Set, Catalog, Index, Contract, Policy, Protocol, Guideline, Schedule, Bylaws, Notes, Slide, Screenshot, etc.)
  • Descriptor = Describes a unique identifier for the file (e.g., “ICU DKA Treatment Discussion”, “Meeting with Dr. Smith”, “Malaria Workup”, etc.)
  • Created/Updated/Approved = Use ‘created’ when first creating a file, ‘updated’ when updating a file, and ‘approved’ when creating a final version
  • mm-dd-yyyy = Describes when the file was created, updated, or approved
  • ext = File extension (e.g., “.docx” or “.PDF”, etc.)

My next recommendation (number 7) is to learn the 24 basic tools that shape all clinical workflows: 12 are typically outside of the EMR, and the other 12 are found inside of it. Understanding the basic functions and design of each of these tools will help you to better plan projects, identify deliverables, identify stakeholders, and create smooth, complete clinical workflows.

Coming in at number eight is my general recommendation to all Applied Clinical Informaticists to care about the entire ‘Informatics tree’, including both the ‘Data In’ and ‘Data Out’ branches. While most people will gravitate toward one area, understanding the whole tree will broaden your perspectives and skill sets, and overall help you plan workflows.

My ninth recommendation for Applied Clinical Informaticists seeking to design smooth workflows comes from this 2015 blog post, where I talked about the importance of learning the relationship between concepts, terminology, templates, documents, and workflows.

Organizational Support (#8) is necessary to:

  • Identify the concepts and ontologies (#7) that help you…
  • Develop the definitions, terminology, and standards (#6) that you need to…
  • Develop the templates and archetypes (#5) that will help you…
  • Create the documents and tools (#4) that, combined, will help to…
  • Create and support the workflows and processes (#3) that, if designed properly, will…
  • Align with your goals and regulations (#2) which should…
  • Align with your Mission and Vision (#1).

Typically, after first understanding #2, Applied Clinical Informaticists will concern themselves with aligning levels #7 to #3 of this pyramid. (Learning how pyramid levels #8-5 impact the documents in #4 can help you troubleshoot even the most complicated workflows in #3.)

Finally, my tenth recommendation for Applied Clinical Informaticists seeking to design smooth workflow is to care deeply about change management. While Kotter’s 8-step change management model is an excellent foundation, I recommend beginning with a standard, linear waterfall project model and then expanding it slightly for healthcare purposes, to include the following:

  1. Conception, Determination, and Documentation of Need for Change
  2. Evaluation, Analysis, Scoping, Presentation, Prioritization, and Approval for Change
  3. Project Planning
  4. Drafting of Change
  5. Building of Change
  6. Testing of Change
  7. Final Approval of Change (go/no-go discussion)
  8. Communication and Education of Change
  9. Implication/Publication (‘Go-Live’) of Change
  10. Monitoring and Support of Change

Once these ten steps are laid out, you can begin looking at the tasks beneath each step and developing your own ‘waterfall-meets-healthcare’-type change management strategy.

I hope this set of slides is helpful. Feel free to leave comments below with any thoughts or feedback. In my next post, we will look at another 10 of my strong recommendations for Applied Clinical Informaticists seeking to design smooth workflows.

This piece was written Dirk Stanley, MD, a board-certified hospitalist, informaticist, workflow designer, and CMIO, on his blog, CMIO Perspective.

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Stanford, Scripps executives share their thoughtful approaches to growth

September 24, 2023

Long-term vision is crucial for any hospital and health system. And today, health system executives must balance the need for growth with challenges related to finances, the workforce and operations.

Chris Van Gorder, president and CEO of San Diego-based Scripps Health, and Priya Singh, chief strategy officer and senior associate dean for strategy and communications at Stanford (Calif.) Medicine, told Becker's their organizations are taking a measured and strategic approach to growth.

Question: What is/are the goal(s) of your system's growth strategy and what are the market opportunities to achieve it?

Note: Responses have been lightly edited for length and clarity.

Chris Van Gorder: San Diego is unique in the sense that we're bordered by Mexico, the Pacific Ocean, the desert and Marine Corps Base Camp Pendleton. We're not in a contiguous community with Los Angeles or Orange County. So while we can try to plan a lot of things, sometimes we must be opportunistic. For example, we've established a relationship with Pioneers Memorial Hospital in Brawley, Calif., which is a disproportionate share hospital. We did not do this so much as an acquisition, but because we know that the two hospitals in Imperial County have to use San Diego as their tertiary referral source. We have helicopters flying back and forth constantly to San Diego from Imperial County. Pioneers had some challenges around quality and some other areas, so we are able to work with them to benefit patient care. 

We have explored merger and acquisition opportunities in Orange County and other areas. But we've always walked away from most of them because we weren't convinced after looking at them that we'd be able to turn those organizations around, because, sadly, a lot of the organizations waited too late to look at merger opportunities. Another factor in California is  SB 1953, which requires hospitals to meet seismic strengthening requirements. If not for that, we would probably be more aggressive in adding other hospitals to our system. But we are spending billions of dollars to rebuild our existing hospitals and taking on other hospitals with their own SB 1953 issues would endanger our balance sheet.

So what we have done is look at smaller volume services that have not been generating a positive operating margin for us. For example, we had our own home health agency that was losing money. We used it to form a joint venture with the Pennant Group, and they eliminated the losses we were running. We have been and continue to look at opportunities for growth partnerships with services that are important to Scripps, but which may not be the core patient care services that we deliver. 

We also entered into a lot of contracts to grow market share. But what we're discovering is that full-risk managed care is not being funded appropriately. The risk that we're taking on is that we're not covering our costs. We're losing tens of millions of dollars in Medicare Advantage, and that's not sustainable. And so, we have made a conscious decision to exit Medicare Advantage full-risk agreements with our integrated medical groups. We're staying in with our individual physician associations. While we cannot employ doctors directly, we work with doctors in both our integrated – or a "foundation" model – and also with those in private practice who organize in IPAs.

Priya Singh: Stanford Medicine recognizes system growth as an opportunity to advance scientific knowledge, better prepare the biomedical leaders of tomorrow, and make positive and equitable contributions to the health of populations. With this in mind, we focus on growth that is measured, purposeful and strategic. 

Through our efforts to better serve our surrounding communities, including our collaborations with other Bay Area health systems, we are able to reach more underserved populations, expand patient access, and advance clinical research. Chronic disease disproportionately burdens racial and ethnic minorities, yet they are underrepresented in clinical trials. By strategically expanding our Bay Area presence, particularly by increasing access to clinical trials, we make a direct impact on surrounding communities and advance health equity at a national and global level.

We are keenly aware that our ability to address our patients' needs starts with ensuring that our people have the necessary resources and support. We continually strive to further build a culture of belonging across the Stanford Medicine community. This includes our WellMD & WellPhD Center, which promotes professional well-being, supports continuous learning, and addresses clinician burnout — an epidemic affecting health systems nationally.

We believe that technology, particularly telehealth and artificial intelligence, will have a growing role in our ability to increase access to care and lessen the burdens on clinical staff while leading to better patient outcomes. Stanford Medicine remains a leader in the use of telehealth, and we are on the leading edge of implementing AI technologies in patient care environments. While we see tremendous promise with AI and large language models, we recognize the need for implementing them thoughtfully.

In June, Lloyd Minor, MD, dean of the School of Medicine and vice president for medical affairs at Stanford University, launched RAISE-Health along with Fei-Fei Li, PhD, the co-director of the Stanford Institute for Human-Centered Artificial Intelligence. RAISE-Health stands for Responsible AI for Safe and Equitable Health, and its primary goal is to guide the responsible use of AI across biomedical research, education and patient care.

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