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In the News

Introducing Notable Assistant, a ChatGPT-like innovation that patients can use to manage everything from appointment scheduling to bill payments

October 3, 2023

Notable Assistant makes it easy for health systems to rapidly deliver concierge care for every patient

SAN MATEO, Calif., Sept. 12, 2023 /PRNewswire/ -- Notable, the leading automation platform for patient engagement and staff workflows, launched Notable Assistant, a first-of-its-kind patient assistant designed to expand access to healthcare information and services using large language models (LLMs) and conversational AI. Built on the rich data at the heart of the Notable platform, Patient AI, Notable Assistant introduces an accessible experience, in which every patient has a personal guide navigating them through the intricacies of the healthcare system.

Shown here is the flow and simplicity of rescheduling an upcoming appointment with Notable Assistant.

Shown here is the ability for a patient to interact with Notable Assistant using their voice to locate a healthcare bill and make a payment.

Today, patients prefer to use digital tools for basic tasks like finding a doctor or scheduling an appointment. Notable research found that 70% of patients who tried online scheduling were redirected to a phone call. Tasks that should be simple quickly become cumbersome as patients are pushed to overloaded call centers. It doesn't have to be this way.

"Patients today struggle just to get access to care and to navigate their way through the maze of the healthcare system," said Aaron Neinstein, Chief Medical Officer at Notable. "With Assistant, patients can use their native language to manage their care and access the information they need, quickly, without having to pick up the phone. By putting large language models to work to eliminate administrative barriers to care, we are taking meaningful steps to rebuild the patient-physician relationship."

Notable Assistant allows any health system to provide a single, AI-powered entry point to their services and information through their website, mobile application, or portal. Using content from a health system's website, call scripts, existing staff workflows, and EHR data, Notable Assistant allows patients to:

Access provider services and information
Find a doctor that meets their specific needs
Schedule, reschedule, or cancel an appointment
Find directions to a clinic
Pay outstanding bills or inquire about financial assistance
Request a prescription refill

"Large language models have tremendous potential to elevate the experience we provide patients and unlock expanded access," said Kristen Guillaume, Vice President and Chief Information Officer at North Kansas City Hospital & Meritas Health. "With Notable Assistant, we can create a personalized, responsive healthcare journey for each of our patients."

Notable Assistant enables health systems to increase patient acquisition because patients can easily find clinicians who can meet their healthcare needs. For healthcare organizations, Notable Assistant:

Is fully customizable to match brand guidelines, including tone of voice
Can understand and answer questions in over 130 different languages
Can be further trained by uploading additional documents, such as call center training manuals, to improve answers
Can provide insights and generate reports in real-time, enabling a deeper understanding of patient and consumer needs
Uses patient feedback to learn what help they need the most, and improve responses over time
Is HITRUST certified

"At Notable we are committed to simplifying and optimizing healthcare for humanity. We strive to enable a world where people can navigate the complexities of healthcare without phone calls or faxes, and in a personalized manner," said Pranay Kapadia, CEO and Co-Founder at Notable. "The addition of the Notable Assistant to our platform continues to set the bar for outcomes our health system partners can achieve. It allows them to deliver a differentiated patient experience and enable their care team members to practice at the top of their license, all while embracing the latest in AI in a safe and responsible way."

To learn more about Notable Assistant, visit www.notablehealth.com/assistant

To see Notable Assistant in action, visit our demo site at: http://www.pcmahealth.org/

About Notable

Notable is the leading automation platform for patient engagement and staff workflows. Deployed at over 3,000 sites of care, Notable automates over a million repetitive workflows every day across scheduling, registration, intake, referrals, and authorizations. The result: personalized, streamlined care for patients, the elimination of burdensome manual work for caregivers, and improved financial health for healthcare providers. Based in San Mateo, Calif., Notable is backed by leading investors, including ICONIQ Growth, Greylock Partners, F-Prime, Oak HC/FT, Maverick Ventures, and 8VC. Find out why healthcare providers of all sizes, including Intermountain Health, Medical University of South Carolina, North Kansas City Hospital, and more have partnered with Notable to redefine what's possible in healthcare at www.notablehealth.com.

For more information:
Trevor Jonas
[email protected]

SOURCE Notable

MOVEit maker announces new critical vulnerability affecting a different file transfer tool

October 2, 2023

The company behind a popular file transfer service that was exploited by ransomware hackers has announced a new set of vulnerabilities affecting another file transfer tool.

Progress Software — the company behind the widely exploited MOVEit file transfer tool — said this week that one of their other products, WS_FTP Server, has several vulnerabilities that need to be patched immediately.

Thousands of IT teams depend on WS_FTP Server for “the unique business-grade features required to assure reliable and secure transfer of critical data,” according to the company. Progress listed the Denver Broncos, gaming company RockSteady, H&M Software and Scientific American as some customers using the WS_FTP product.

On Wednesday, Progress published an advisory warning that their team and outside researchers discovered eight new vulnerabilities. All versions of WS_FTP Server are affected by these vulnerabilities, and the company made version-specific hotfixes available for customers to remediate them.

“We have responsibly disclosed this vulnerability in conjunction with the researchers at Assetnote," Progress said in a statement to Recorded Future News. "Currently, we have not seen any indication that this vulnerability has been exploited. We have issued a fix and have encouraged our customers to perform an upgrade to the patched version of our software. Security is of the utmost importance to us and we leverage development practices to minimize product vulnerabilities whenever possible.”

The most serious of the issues – CVE-2023-40044 and CVE-2023-42657 – carry CVSS severity scores of 10 and 9.9 respectively, indicating that they are critical issues that companies should quickly address.

CVE-2023-40044 was discovered by two security experts from AssetNote, CTO Shubham Shah and engineering lead Sean Yeoh, and would allow a hacker to execute commands on a victim system.

CVE-2023-42657 was discovered by Progress Software and could be used by attackers to delete or rename files on a variety of victim assets.

Several other issues were discovered by Deloitte’s Cristian Mocanu and carry severity scores ranging from 5.3 to 8.3.

“Upgrading to a patched release, using the full installer, is the only way to remediate this issue. There will be an outage to the system while the upgrade is running,” the company said.

Progress Software is now facing several class action lawsuits and severe backlash over the exploitation of vulnerabilities affecting MOVEit – a popular file transfer software used by hundreds of governments, corporations and universities.

The Clop ransomware gang spent weeks stealing sensitive information through the file transfer software, setting off a global patching effort that was considered successful but did little to stop the gang from extracting troves of data.

Security firm Emsisoft estimates that more than 62 million people and 2,000 organizations were affected by the MOVEit breaches. Cybersecurity researchers believe the Clop gang has ended up netting anywhere from $75 million to $100 million just from the MOVEit campaign — with that sum “coming from just a small handful of victims that succumbed to very high ransom payments.”

Progress recently told investors that the incident would have a “minimal” business impact on the company, Cybersecurity Dive reported Thursday.

File transfer tools have long been a target of hackers due to the access they provide to sensitive data. The Clop ransomware gang previously exploited Fortra’s GoAnywhere file transfer product earlier this year and Accellion’s file transfer appliance in 2021.

Dustin Childs – head of threat awareness at Trend Micro’s Zero Day Initiative – told Recorded Future News this summer that defenders should be on the lookout for file transfer software attacks because they are in the “very soft middle” of organizations’ networks.

“Attackers – especially the ransomware crews – are gonna start looking at those [file transfer zero days] because people are getting a little smarter with not clicking on stuff and not responding to the scam emails,” he said.

“And by the way, MOVEit is not the only product in that field. There are other file transfer appliances out there. How secure are they? I would imagine if you've got a file transfer appliance, it's probably a target.”

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Consulting giant McKinsey unveils its own generative AI tool for employees: Lilli

October 1, 2023

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McKinsey and Company, the nearly century-old firm that is the one of the largest consulting agencies in the world, made headlines earlier this year with its rapid embrace of generative AI tools, saying in June that nearly half of its 30,000 employees were using the technology.

Now, the company is debuting a gen AI tool of its own: Lilli, a new chat application for employees designed by McKinsey’s “ClienTech” team under chief technology officer (CTO) Jacky Wright. The tool serves up information, insights, data, plans, and even recommends the most applicable internal experts for consulting projects, all based on more than 100,000 documents and interview transcripts.

“If you could ask the totality of McKinsey’s knowledge a question, and [an AI] could answer back, what would that do for the company? That’s exactly what Lilli is,” McKinsey senior partner Erik Roth, who led the product’s development, said in a video interview with VentureBeat.

Named after Lillian Dombrowski, the first woman McKinsey hired for a professional services role back in 1945, Lilli has been in beta since June 2023 and will be rolling out across McKinsey this fall.

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Roth and his collaborators at McKinsey told VentureBeat that Lilli has already been in use by approximately 7,000 employees as a “minimum viable product” (MVP) and has already cut down the time spent on research and planning work from weeks to hours, and in other cases, hours to minutes.

“In just the last two weeks, Lilli has answered 50,000 questions,” said Roth. “Sixty six percent of users are returning to it multiple times per week.”

Roth provided VentureBeat with an exclusive demo of Lilli, showing the interface and several examples of the responses it generates.

The interface will look familiar to those who have used other public-facing text-to-text based gen AI tools such as OpenAI’s ChatGPT and Anthropic’s Claude 2. Lilli contains a text entry box for the user to enter in questions, searches and prompts at the bottom of its primary window, and generates its responses above in a chronological chat, showing the user’s prompts and Lilli’s responses following.

However, the are several features that immediately stand out in terms of additional utility: Lilli also contains an expandable left-hand sidebar with saved prompts, which the user can copy and paste over and modify to their liking. Roth said that categories for these prompts were coming soon to the platform, as well.

The interface includes two tabs that a user may toggle between, one, “GenAI Chat” that sources data from a more generalized large language model (LLM) backend, and another, “Client Capabilities” that sources responses from McKinsey’s corpus of 100,000-plus documents, transcripts and presentations.

“We intentionally created both experiences to learn about and compare what we have internally with what is publicly available,” Roth told VentureBeat in an email.

Another differentiator is in sourcing: While many LLMs don’t specifically cite or link to sources upon which they draw their responses — Microsoft Bing Chat powered by OpenAI GPT-4 being a notable exception — Lilli provides a whole separate “Sources” section below every single response, along with links and even page numbers to specific pages from which the model drew its response.

“We go full attribution,” said Roth. “Clients I’ve spoken with get very excited about that.”

With so much information available to it, what kinds of tasks is McKinsey’s new Lilli AI best suited to complete?

Roth said he envisioned that McKinsey consultants would use Lilli through nearly every step of their work with a client, from gathering initial research on the client’s sector and competitors or comparable firms, to drafting plans for how the client could implement specific projects.

VentureBeat’s demo of Lilli showed off such versatility: Lilli was able to provide a list of internal McKinsey experts qualified to speak about a large e-commerce retailer, as well as an outlook for clean energy in the U.S. over the next decade, and a plan for building a new energy plant over the course of 10 weeks.

Throughout it all, the AI cited its sources clearly at the bottom.

While the responses were sometimes a few seconds slower than leading commercial LLMs, Roth said McKinsey was continually updating the speed and also prioritized quality of information over rapidity.

Furthermore, Roth said that the company is experimenting with enabling a feature for uploading client information and documentation for secure, private analysis on McKinsey servers, but said that this feature was still being developed and would not be deployed until it was perfected.

“Lilli has the capacity to upload client data in a very safe and secure way,” Roth explained. “We can think about use cases in the future where we’ll combine our data with our clients data, or just use our clients’ data on the same platform for greater synthesis and exploration…anything that we load into Lilli, goes through an extensive compliance risk assessment, including our own data.”

Lilli leverages currently available LLMs, including those developed by McKinsey partner Cohere as well as OpenAI on the Microsoft Azure platform, to inform its GenAI Chat and natural language processing (NLP) capabilities.

The application, however, was built by McKinsey and acts as a secure layer that goes between the user and the underlying data.

“We think of Lilli as its own stack,” said Roth. “So its own layer sits in between the corpus and the LLMs. It does have deep learning capabilities, it does have trainable modules, but it’s a combination of technologies that comes together to create the stack.”

Roth emphasized that McKinsey was “LLM agnostic” and was constantly exploring new LLMs and AI models to see which offered the most utility, including older versions that are still being maintained.

While the company looks to expand its usage to all employees, Roth also said that McKinsey was not ruling out white-labeling Lilli or turning it into an external-facing product for use by McKinsey clients or other firms entirely.

“At the moment, all discussions are in play,” said Roth. “I personally believe that every organization needs a version of Lilli.”

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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

Tip

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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Introducing Notable Assistant, a ChatGPT-like innovation that patients can use to manage everything from appointment scheduling to bill payments

October 3, 2023

Notable Assistant makes it easy for health systems to rapidly deliver concierge care for every patient

SAN MATEO, Calif., Sept. 12, 2023 /PRNewswire/ -- Notable, the leading automation platform for patient engagement and staff workflows, launched Notable Assistant, a first-of-its-kind patient assistant designed to expand access to healthcare information and services using large language models (LLMs) and conversational AI. Built on the rich data at the heart of the Notable platform, Patient AI, Notable Assistant introduces an accessible experience, in which every patient has a personal guide navigating them through the intricacies of the healthcare system.

Today, patients prefer to use digital tools for basic tasks like finding a doctor or scheduling an appointment. Notable research found that 70% of patients who tried online scheduling were redirected to a phone call. Tasks that should be simple quickly become cumbersome as patients are pushed to overloaded call centers. It doesn't have to be this way.

"Patients today struggle just to get access to care and to navigate their way through the maze of the healthcare system," said Aaron Neinstein, Chief Medical Officer at Notable. "With Assistant, patients can use their native language to manage their care and access the information they need, quickly, without having to pick up the phone. By putting large language models to work to eliminate administrative barriers to care, we are taking meaningful steps to rebuild the patient-physician relationship."

Notable Assistant allows any health system to provide a single, AI-powered entry point to their services and information through their website, mobile application, or portal. Using content from a health system's website, call scripts, existing staff workflows, and EHR data, Notable Assistant allows patients to:

Access provider services and information
Find a doctor that meets their specific needs
Schedule, reschedule, or cancel an appointment
Find directions to a clinic
Pay outstanding bills or inquire about financial assistance
Request a prescription refill

"Large language models have tremendous potential to elevate the experience we provide patients and unlock expanded access," said Kristen Guillaume, Vice President and Chief Information Officer at North Kansas City Hospital & Meritas Health. "With Notable Assistant, we can create a personalized, responsive healthcare journey for each of our patients."

Notable Assistant enables health systems to increase patient acquisition because patients can easily find clinicians who can meet their healthcare needs. For healthcare organizations, Notable Assistant:

Is fully customizable to match brand guidelines, including tone of voice
Can understand and answer questions in over 130 different languages
Can be further trained by uploading additional documents, such as call center training manuals, to improve answers
Can provide insights and generate reports in real-time, enabling a deeper understanding of patient and consumer needs
Uses patient feedback to learn what help they need the most, and improve responses over time
Is HITRUST certified