Faces of Digital Health

Faces of digital health is a podcast about digital health trends and how healthcare systems around the world adopt technology. The podcast steers away from American centricity in reporting about digital health. I believe this information can be helpful for healthcare entrepreneurs considering different global markets. It can give medical professionals and decision-makers insight into the latest digital health trends.

Healthcare data series 2/4: EPIC Cosmos – Next Step in EHR Data Mining

If you work in healthcare IT, you must have heard the name EPIC. EPIC is a renowned EHR provider, that covers around a third of the US healthcare market. In 2019,  Epic launched Cosmos, a special program for data mining of patient records data gathered in EPIC systems. Today, EPIC Cosmos, which was built to enable easier clinical research for contributing EPIC customers, contains over 178 million patient records from over 6.5 billion encounters, representing patients in all 50 states. In this episode’s discussion with Phil Lindemann, VP of Business Intelligence at EPIC and EPIC’s Clinical Informaticist Dave Little, you will hear more about the growth of data in EPIC Cosmos, collaboration with external healthcare IT and app providers that can join EPIC’s App Orchard ecosystem. Dave and Phil also talked about needed improvements for easier collaboration with healthcare IT vendors and innovators outside EPIC, how they hope EHRs will evolve with novel technologies and AI, and more. 

This discussion is part of a broader series of talks about healthcare data management in the US. An in-depth summary will be published in the monthly newsletter:


The January edition offers an overview into natural language processing development in healthcare and the potential of ChatGPT in healthcare: https://fodh.substack.com/p/natural-language-processing-is-the


Healthcare Data Series 1/4: How is Komodo Health Gathering and Analysing Health Data of the Whole US Population?

The words healthcare data carry many associations: from frustrations around data interoperability, outrage about the value and monetization of healthcare data, anger due to poor access to medical records by patients, and we could go on. 

In the next few episodes, you will hear a little bit more about healthcare data management in the US healthcare system. We’re starting with a discussion recorded at HLTH 2022, where Arif Nathoo – CEO of Komodo Health describes how the company plans to capture and de-identify every encounter patients have with the US healthcare system. Komodo Health is currently tracking individual encounters with the healthcare system for over 330 million patients. Companies such as Pfizer, AppliedVR, Turquoise Health, Janssen, and others, use Komnodo’s de-identified patient-level data and insights to inform drug development, discovery, clinical trials, clinical research, and innovation. 


Make sure to subscribe to the podcast to be notified about new episodes automatically! In the next episode, you will hear why Palantir Foundy is betting on open data standards in healthcare, what a few healthcare data management vendors think about the current state of interoperability and data governance, and more. 


Newsletter: fodh.substack.com

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NLP in Healthcare 3/3: ChatGPT, MedPalm and the impact of NLP in healthcare

This episode is the last on in the series of three discussions about natural language processing in healthcare. In the first episode, I discussed the state of symptom checkers with Jeff Cutler, CCO of Ada Health – the leading symptom-checking provider. In the second episode, CEO of Suki, Punit Singh Soni, explained where voice technology is today in helping doctors better manage their medical records and notes taking. And today’s discussion will give you a comment and critical perspective on using ChatGPT in healthcare and other large language models such as Google’s MedPalm. 


  • To clarify the state of natural language processing in healthcare – to which extent is this moving from research to practical use, 
  • To create a clear, realistic picture of  ChatGPT and MedPaLM implications


Alexandre Lebrun – CEO of Nabla – a french company that has created an AI-based medical assistant that makes healthcare professionals more efficient. For instance, it automates clinical documentation and patient engagement. 

Israel Krush, CEO of Hyro – mostly present in the US market –  the world’s first headache-free conversational AI, especially focused on healthcare. It’s used for automation across call centers, mobile apps, websites and SMS include physician search, scheduling, prescription refills, FAQs and more. You’re doing this mostly in the US, supporting patient communications for health systems like Mercy Health, Baptist Health and Novant Health. 

Video recording: https://www.youtube.com/watch?v=nzKTcjPX-qg&t=3s

Newsletter: https://fodh.substack.com/


NLP in Healthcare 2/3: The Power of Voice and NLP for Medical Practice Optimization (Punit Singh Soni, Suki)

The promise of voice is great: doctors speak to their patients, while their words get correctly transcribed, interpreted and recorded in a structured way in a clinical system. No more long hours spent on typing clinical notes on the computer. While this may seem futuristic, it’s actually already in use in some places. At HLTH in November, I spoke with Punit Singh Sonu, CEO of Suki, which provides doctors with an AI-powered voice assistant for healthcare designed to save doctors time and energy. We discussed how Suki works, how it translates text to structured data, and how clinically risky is to rely on AI to interpret medication names which can very quickly sound alike correctly. 

The biggest issue, says Punit Singh Sonu, is not specialty phrases, it’s regular English. “The problem typically happens not in medical terminology. It happens in regular English. I’ll give you a very funny example. The doctor would just say “bilateral knee,” and it would actually understand it as “beyonce knowles”. Regular English is where speech recognition trips and falls in, in specific medical terminology,” he explained. 

Recap: https://www.facesofdigitalhealth.com/blog/nlp-in-healthcare-suki-voicetech

Suki: suki.ai

Monthly. newsletter: https://fodh.substack.com/


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NLP in healthcare 1/3: The State of Symptom Checkers (Jeff Cuttler, Ada Health)

ChatGPT has been entertaining and amazing the world in the last month, and there’s no shortage of ideas and new inspiration about what AI could do for healthcare. In a short series of three episodes, we will touch upon this topic from three angles:

  1. will first take a look at the state of symptom checkers and their accuracy today,
  2. the development and state of voice tech and natural language processing for structuring data, and end with
  3. a comment on ChatGPT, chatbots and Google’s recently released paper on MultiMedQA, a benchmark combining six existing open question answering datasets spanning professional medical exams, research, and consumer queries; and HealthSearchQA, a new free-response dataset of medical questions searched online. 

Today you’ll hear from a discussion with Jeff Cutler – Chief Commercial Officer of Ada Health, whom I spoke with at HLTH. 

Ada is the world’s most popular symptom assessment app, with 10 million users and 25 million completed assessments. Every three seconds, someone turns to Ada for personal health guidance.

Discussion topics:

  • the development of accuracy and business models of symptom checkers,
  • how is Ada improving the accuracy of its algorithms,
  • their partnership with the likes of Sutter Health to enhance the care patients receive even before entering the doctor’s office.


BTW: Did you check our newsletter yet? It only comes out every few weeks with a summary of a specific topic and an overview of past episodes. Go to fodh.substack.com

Recap: https://www.facesofdigitalhealth.com/blog/nlp-in-healthcare-1-the-state-of-symptom-checkers-jeff-cuttler-ada-health

Leave a rating or review: www.lovethepodcast.com/facesofdigitalhealth

Monthly newsletter: https://fodh.substack.com/


Healthcare in 2033: “You can only disrupt healthcare in a non-disruptive way” (Mark Coticchia, Baptist Health)

 We tend to be very good at overestimating what can happen in a year and underestimating what can happen in a decade. At the last mHealth Israel Conference in Tel Aviv,  Mark Coticchia, who is the Innovation, Technology Commercialization, and Venture Development Leader at Baptist Health Innovations, shared his prediction about healthcare systems and healthcare delivery in the US in 2033.

Transcript: https://www.facesofdigitalhealth.com/blog/mark-coticchia-baptist-health

Leave a rating or review: www.lovethepodcast.com/facesofdigitalhealth

Monthly newsletter: https://fodh.substack.com/


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