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In the News

Navigating the Digital Frontier: A Strategic Guide to Healthcare Transformation

October 3, 2023

The healthcare sector is at a pivotal juncture, with digital transformation serving as key for a new era of patient care and operational excellence. Far from being a mere buzzword, digital transformation is a strategic imperative that goes beyond the adoption of electronic medical records or new software. It's about fundamentally reimagining how healthcare organisations engage with patients, consumers and the broader community in optimising their operations. In this article, we will delve into the concept of digital transformation in healthcare, discuss its importance, explore the role of strategy in its implementation, analyse the challenges it poses, examine its impact on patient care, and explore future trends in this dynamic field.

Understanding Digital Transformation

The concept of digital transformation in healthcare refers to the integration of digital technologies and processes into the delivery of healthcare services. It entails leveraging technology to digitise manual processes, automate workflows, and enable data-driven decision-making. By embracing digital transformation, healthcare organisations aim to improve patient outcomes, enhance operational efficiency, and reduce healthcare costs. However, digital transformation in healthcare is not a one-size-fits-all proposition. It's complex and woven from various technological threads—artificial intelligence (AI), big data analytics, telemedicine, and the Internet of Things (IoT), to name a few. AI, for instance, is not just a futuristic concept but a practical tool for diagnosing diseases with greater accuracy and developing personalised treatment plans. Similarly, big data analytics provide actionable insights into patient behaviour, disease patterns, and treatment efficacy, enabling more targeted care.

Telemedicine: Bridging the Gap

Telemedicine is another significant technology that is driving digital transformation in healthcare. It enables remote consultations, virtual visits, and remote patient monitoring, making healthcare more accessible and convenient for patients. Telemedicine also plays a crucial role in rural areas where access to healthcare services may be limited. Through telemedicine, patients can receive timely medical advice, follow-up care, and even access specialised expertise without the need for physical travel. Telemedicine is a game-changer, particularly for rural communities where healthcare services are often out of reach. It's not just about convenience; it's about making healthcare accessible and reducing the burden on traditional healthcare facilities. Bring in satellite comms and the 4G network, leading to better patient outcomes and reduced hospital admissions.

IoT: The Silent Revolution

The Internet of Things (IoT) devices also contribute to the digital transformation of healthcare. IoT devices like wearable fitness trackers are the unsung heroes of digital transformation. They offer real-time data that can be crucial for patient monitoring, thereby reducing hospital readmissions and enabling proactive healthcare management.

Image credit Shutterstock: Working Group strategy planning

The Strategy Quotient

So, why is digital transformation crucial in healthcare? The healthcare industry is facing numerous challenges, including an aging population, rising healthcare costs, and an increasing demand for quality care. Digital transformation offers potential solutions to address these challenges by improving accessibility, promoting preventive care, and enhancing patient engagement.

While technology is the enabler, strategy is the navigator. A well-defined strategy aligns technological initiatives with organisational objectives, ensuring that the transformation journey is not just effective but also sustainable. This involves a comprehensive assessment of the organisation's digital maturity, a clear roadmap for technology adoption, and a focus on interoperability and data security.

Without a clear plan and direction, healthcare organisations may struggle to effectively implement digital solutions and fully reap the benefits. Strategic planning for digital transformation involves aligning technological initiatives with organisational goals, identifying key stakeholders, and ensuring effective change management.

Elements of a Successful Digital Strategy

A successful digital strategy comprises several key elements. Firstly, it involves selecting the right technologies that align with the organisation's goals and objectives. This may include electronic medical record systems, patient engagement tools, remote monitoring devices, or predictive analytics platforms. The chosen technologies should be scalable, interoperable, and user-friendly to ensure seamless integration and adoption.

Secondly, it requires a focus on interoperability to enable seamless sharing of patient information between different healthcare providers and systems. Interoperability is crucial for delivering coordinated and patient-centered care. It allows healthcare professionals to access and exchange accurate and up-to-date patient data, leading to better care coordination, reduced medical errors, and improved patient outcomes.

Lastly, a strong emphasis should be placed on data security and privacy to safeguard patient information from potential breaches. As healthcare organisations increasingly rely on digital technologies, the risk of data breaches and cyber-attacks also increases. Implementing robust security measures, such as encryption, access controls, and regular security audits, is essential to protect patient data and maintain trust.

Overcoming the Hurdles

The path to digital transformation is fraught with challenges, both technological and organisational. Legacy systems, data integration, and compliance with regulations like HIPAA are just a few of the hurdles that healthcare organisations must clear. Moreover, the human element—resistance to change and digital literacy—cannot be overlooked.

The Future is Now

As we look ahead, technologies like predictive analytics and remote patient monitoring will continue to shape the healthcare landscape. These are not mere trends but essential tools for delivering more proactive and personalised care. By leveraging vast amounts of patient data, AI algorithms can identify patterns, predict disease progression, and suggest treatment interventions. This can lead to early detection of diseases, more targeted interventions, and improved patient outcomes.

The Digital Imperative

In summary, digital transformation is not an option but a necessity for modern healthcare organisations. It offers a strategic framework for improving patient outcomes, enhancing operational efficiency, and meeting the challenges of an evolving healthcare landscape. By embracing this digital imperative, healthcare organisations are not just surviving but thriving in this new era of healthcare delivery.

If you enjoyed reading this, follow me for more insightful content on all things Digital (and other topics) in Healthcare. 💫

Read More

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.


Continue Reading



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

Read More

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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Navigating the Digital Frontier: A Strategic Guide to Healthcare Transformation

October 3, 2023

The healthcare sector is at a pivotal juncture, with digital transformation serving as key for a new era of patient care and operational excellence. Far from being a mere buzzword, digital transformation is a strategic imperative that goes beyond the adoption of electronic medical records or new software. It's about fundamentally reimagining how healthcare organisations engage with patients, consumers and the broader community in optimising their operations. In this article, we will delve into the concept of digital transformation in healthcare, discuss its importance, explore the role of strategy in its implementation, analyse the challenges it poses, examine its impact on patient care, and explore future trends in this dynamic field.

Understanding Digital Transformation

The concept of digital transformation in healthcare refers to the integration of digital technologies and processes into the delivery of healthcare services. It entails leveraging technology to digitise manual processes, automate workflows, and enable data-driven decision-making. By embracing digital transformation, healthcare organisations aim to improve patient outcomes, enhance operational efficiency, and reduce healthcare costs. However, digital transformation in healthcare is not a one-size-fits-all proposition. It's complex and woven from various technological threads—artificial intelligence (AI), big data analytics, telemedicine, and the Internet of Things (IoT), to name a few. AI, for instance, is not just a futuristic concept but a practical tool for diagnosing diseases with greater accuracy and developing personalised treatment plans. Similarly, big data analytics provide actionable insights into patient behaviour, disease patterns, and treatment efficacy, enabling more targeted care.

Telemedicine: Bridging the Gap

Telemedicine is another significant technology that is driving digital transformation in healthcare. It enables remote consultations, virtual visits, and remote patient monitoring, making healthcare more accessible and convenient for patients. Telemedicine also plays a crucial role in rural areas where access to healthcare services may be limited. Through telemedicine, patients can receive timely medical advice, follow-up care, and even access specialised expertise without the need for physical travel. Telemedicine is a game-changer, particularly for rural communities where healthcare services are often out of reach. It's not just about convenience; it's about making healthcare accessible and reducing the burden on traditional healthcare facilities. Bring in satellite comms and the 4G network, leading to better patient outcomes and reduced hospital admissions.

IoT: The Silent Revolution

The Internet of Things (IoT) devices also contribute to the digital transformation of healthcare. IoT devices like wearable fitness trackers are the unsung heroes of digital transformation. They offer real-time data that can be crucial for patient monitoring, thereby reducing hospital readmissions and enabling proactive healthcare management.

Image credit Shutterstock: Working Group strategy planning

The Strategy Quotient

So, why is digital transformation crucial in healthcare? The healthcare industry is facing numerous challenges, including an aging population, rising healthcare costs, and an increasing demand for quality care. Digital transformation offers potential solutions to address these challenges by improving accessibility, promoting preventive care, and enhancing patient engagement.

While technology is the enabler, strategy is the navigator. A well-defined strategy aligns technological initiatives with organisational objectives, ensuring that the transformation journey is not just effective but also sustainable. This involves a comprehensive assessment of the organisation's digital maturity, a clear roadmap for technology adoption, and a focus on interoperability and data security.

Without a clear plan and direction, healthcare organisations may struggle to effectively implement digital solutions and fully reap the benefits. Strategic planning for digital transformation involves aligning technological initiatives with organisational goals, identifying key stakeholders, and ensuring effective change management.

Elements of a Successful Digital Strategy

A successful digital strategy comprises several key elements. Firstly, it involves selecting the right technologies that align with the organisation's goals and objectives. This may include electronic medical record systems, patient engagement tools, remote monitoring devices, or predictive analytics platforms. The chosen technologies should be scalable, interoperable, and user-friendly to ensure seamless integration and adoption.

Secondly, it requires a focus on interoperability to enable seamless sharing of patient information between different healthcare providers and systems. Interoperability is crucial for delivering coordinated and patient-centered care. It allows healthcare professionals to access and exchange accurate and up-to-date patient data, leading to better care coordination, reduced medical errors, and improved patient outcomes.

Lastly, a strong emphasis should be placed on data security and privacy to safeguard patient information from potential breaches. As healthcare organisations increasingly rely on digital technologies, the risk of data breaches and cyber-attacks also increases. Implementing robust security measures, such as encryption, access controls, and regular security audits, is essential to protect patient data and maintain trust.

Overcoming the Hurdles

The path to digital transformation is fraught with challenges, both technological and organisational. Legacy systems, data integration, and compliance with regulations like HIPAA are just a few of the hurdles that healthcare organisations must clear. Moreover, the human element—resistance to change and digital literacy—cannot be overlooked.

The Future is Now

As we look ahead, technologies like predictive analytics and remote patient monitoring will continue to shape the healthcare landscape. These are not mere trends but essential tools for delivering more proactive and personalised care. By leveraging vast amounts of patient data, AI algorithms can identify patterns, predict disease progression, and suggest treatment interventions. This can lead to early detection of diseases, more targeted interventions, and improved patient outcomes.

The Digital Imperative

In summary, digital transformation is not an option but a necessity for modern healthcare organisations. It offers a strategic framework for improving patient outcomes, enhancing operational efficiency, and meeting the challenges of an evolving healthcare landscape. By embracing this digital imperative, healthcare organisations are not just surviving but thriving in this new era of healthcare delivery.

If you enjoyed reading this, follow me for more insightful content on all things Digital (and other topics) in Healthcare. 💫

Read More

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.


Continue Reading



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

Read More

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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