10 things I believe about Digital Health after 10 years working in Digital Health A visual thread 👇

On this Ep of #TheDigitalPatient, @joshuapliu & Alan chat w Dr. Albert Bonnema (CMIO @KetteringHealth) about “Combining EHR, genomics & AI for breakthroughs in precision medicine, Risks of AI use in medical education, and more…” Listen here:

Build vs Buy is a misleading framework when it comes to evaluating Health Tech decisions. Let me explain… If you needed a new desk, that’s a Build vs Buy decision. Once you assemble the desk, you can just use it essentially indefinitely. But Health Tech software that you have

So many ironies in healthcare that drive Health Tech innovators crazy when you first discover them: “If we prevent a readmission, the hospital saves $10,000 and the product pays for itself, right?” → Actually, often a readmission is “revenue” and there aren’t enough incentives

🚨🚨🚨Hot off the press: Kingston Health Sciences Centre empowers patients with Digital Health Tech, reducing length of stay by 44% and readmissions by 20%! I’m blown away at how the hospital team implemented digital care journeys for patients having orthopedic surgery,

AI in Healthcare today isn’t like the world’s best physician - it’s more like a really impressive medical student who doesn’t need to eat or sleep… but still needs oversight from an attending physician “in the loop”. Granted, AI does have some super powers: → It can generate

If your sales team seems to lack clinical knowledge, health systems will assume your implementation teams do too. If your product demo has the right features but nonsensical clinical content and workflows, they’ll assume you’ll mess up their specific configurations too. If

Your patients will turn to ChatGPT for questions about their health and there is NOTHING you can do to stop it. Here are 5 ways the healthcare system should adapt in response: For every story of ChatGPT helping patients failed by the healthcare system, there’s another of it

I keep getting asked what I think about Voice AI agents for engaging patients, so here are my 5 hot takes 🌶️🌶️🌶️ 1️⃣ Voice AI will be great for calls to/from health systems that deal with administrative issues (eg scheduling appointments, tests, etc) but NOT for clinical issues.

On this Ep of #TheDigitalPatient, @joshuapliu & Alan chat w Dr. Greg Ator @KUHospital, abt “Why AI Chart Summarization is the Next Dominant Use Case, Having a CMIO in Every Clinical Dept, and Could a Startup Disrupt the Major EHR Incumbents?” Listen here:

@SeamlessMD Watch the full demo:

What if you could help patients with COPD feel confident day-to-day and cut preventable ER visits and readmissions? Here’s a @SeamlessMD COPD demo to see how Digital Health can do just that. The video below is a clip of a longer 10+ min demo (⭐link in the comments!⭐) where

After Epic’s UGM, everyone declared that AI Scribe startups are doomed. I think they’re WRONG and that panic is overblown. Here are 5 reasons why AI Scribe startups can still win: 1️⃣ Doing ambient clinical documentation at scale is a LOT harder than people think. Super easy

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“He had all the monitors for his baby with the heart rate, the oxygen. He took a picture of it and put it in ChatGPT and said: ‘Should I be concerned with these vital signs?’ And it went through and it said ‘No’ - and it just took so much pressure off of this guy - that's

McDonald’s AI drive-throughs failed and Taco Bell just admitted its own AI drive-through struggles. But don’t worry, patients should just use AI instead of talking to clinicians… right? A year ago Taco Bell rolled out Voice AI to power 500 drive-throughs and has had some bumpy

In the AI era, anyone can spin up a demo overnight. But in Health Tech, going from demo to production-ready, ROI-delivering product is 100 times harder. Why? Healthcare is especially complex. Just a few examples… → Incentives are often misaligned. What helps patients may be

🌶️ 5 spicy hot takes about last week’s Epic UGM news that some may disagree with 👇 1️⃣ Epic’s clinician AI assistant (Art) will act as the user interface layer and lead to an explosion of third party, niche AI vendor models that plug-in. The ultimate goal is for clinicians to

Folks are asking what I think about Epic releasing Emmie, their Patient AI, in 2026. Here are my 4 thoughts (but this applies to any patient portal Conversational AI in general): 1️⃣ Patient portal AIs low-hanging fruit will center around pre and post-visit workflows - e.g.

On this Ep of #TheDigitalPatient, @joshuapliu & Alan chat w Dr. Craig Norquist (CMIO @HonorHealth) abt “What Healthcare C-Suite can learn from the Navy, Where AI Agents fit best, How being a Clinician-Patient Exposes Healthcare Inequities, and more...” 👉