Amir Kishon

🌍 Proof of Concept: Standardizing Oncology Care with FHIR. I'm excited to present Oncology Implementation Guide;a proof of concept developed to demonstrate how HL7® FHIR® standards can streamline oncology care. This guide provides a structured framework for capturing, managing, and exchanging oncology data—spanning prevention, diagnosis, treatment, and follow-up—enabling interoperability across healthcare systems. Explore the guide here: https://lnkd.in/ggMugMUj #Kenya #OncologyCare #FHIR #DigitalHealth #HealthTech #Interoperability #CancerCare #ProofOfConcept

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It had to be said! 🎯 Epic's stranglehold on healthcare IT has stifled innovation for too long and the writing is on the wall. The consolidation myth needs to die already. We were promised efficiency and lower costs, but what we got was bloated bureaucracies that prioritize profits over patients. The data doesn't lie: smaller, agile providers consistently outperform these healthcare monopolies on both outcomes and patient satisfaction. Time for a major reset in how we think about healthcare delivery.

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Former Drawbridge Health CEO Launches Manifold Health AI at JPM to Build the First Digital Health Index Twin for Chronic Disease. SAN FRANCISCO, Jan. 13, 2026 /PRNewswire/ -- Manifold Health AI today announced its launch at JPM Healthcare Week and the GMT MedTech Symposium, unveiling a first-to-market platform that combines a novel, precision-designed blood test with an AI-driven Digital Health Index Twin to translate biological data into financial risk intelligence for healthcare infrastructure. The announcement was delivered by Manifold's Founder and CEO, Jerome Scelza. This will fundamentally change health risk management, improve health outcomes, and make healthcare affordable again. For the complete press release: https://lnkd.in/e9NsnRiT Message me if you would like to know more!

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Hot take: betting or investing in any niche EHR right now (e.g. AI-native EHR for X clinical specialist or X vertical like Longevity) when AI code development exists and only continues to get better with each new model release has to be dumbest pre-AI SaaS era thing an investor can do. Here's why ⤵️ The EHR market is essentially split into 5 categories: #1. Outpatient EHR-enabled private practice (doctor or clinical owned) #2. Outpatient tech-enabled practice (PE, VC, family office owned) #3. Outpatient tech-enabled practice (MBA or bootstrapped owned) #4. Startup enterprise (PE or VC backed) #5. Inpatient hospital VC backed EHRs primarily make their money selling to #2-4, with the Epic's of the world taking most if not all of 5. For #1 there really isn't any true TAM since it's difficult to acquire this customer even when giving the EHR product away for free. But here's what these EHRs are not telling you and why they're all racing to update their API docs. They hope that #2-4 will continue to use their solutions to build with AI vs exiting and vibe coding their own in-house solutions. So when you hear them say their EHR product is safe from AI, that's not true. Right now the Epics of the world are safe but it's customers in categories 1-4 who will 100% vibe code their own solutions. #VibeWithCline #LetDoctorsVibe

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𝗩𝗶𝗩𝗘 𝟮𝟬𝟮𝟲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗗𝗿𝗶𝘃𝗲𝘀 𝗡𝗲𝘅𝘁 𝗪𝗮𝘃𝗲 𝗼𝗳 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 At ViVE 2026 in Los Angeles, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 emerged as the dominant theme as startups and healthcare platforms showcased tools designed to automate complex workflows across patient engagement, clinical operations, and care coordination. Major announcements included new AI assistants for patient communication and care navigation from athenahealth and b.well Connected Health, workflow automation tools from Luma Health and TigerConnect, and expanded virtual care platforms from Fabric and Wheel. Across the conference, vendors emphasized embedding AI agents directly into clinical systems, patient apps, and operational platforms to automate scheduling, care navigation, referrals, and clinical decision support. From a product strategy perspective, the direction is becoming clearer: 𝗔𝗜-𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 — 𝗿𝗮𝘁𝗵𝗲𝗿 𝘁𝗵𝗮𝗻 𝗶𝘀𝗼𝗹𝗮𝘁𝗲𝗱 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝗼𝗼𝗹𝘀. 𝗔𝗜 𝗶𝘀 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝘁𝗼 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, with the greatest value emerging from platforms that integrate deeply with clinical data, EHRs, and care operations.

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Scribes, AI or otherwise, are completely useless in healthcare. You CANNOT document patient encounters with "notes" in language. All you've accomplished is putting paper records behind the glass of the monitor. That's stupid and you can tell that bizdiot Judy Faulkner I said so. You need a data driven EMR that is searchable and relatable. Before you say "mine is" or "AI," no it's not. Sentia has provided a data driven EMR that relates symptoms to observations to clinical measurements to lab results to diagnoses to treatments to outcomes. You can literally pick a list of symptoms and get her back a collection of cases with positive outcomes. You can't do that with language. It's also faster, easier and cheaper than typing "notes." Stop. You are doing it wrong. Start over with a real EMR that is built the way it should have been in the 70s if Judy had a brain in her head. Read this: https://lnkd.in/gR3ArMD9

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Markets feel uncertain. Cash feels tight. And many physicians are waiting for the “right time” to plan. Here’s what most don’t realize. A PPP can start working before you contribute a dollar. Setting it up early means protection is in place, contribution room starts growing, and future options open up quietly in the background. Waiting feels safe. Positioning is smarter. Read why one physician set up their PPP before contributing: https://lnkd.in/gqnAppee #CanadianPhysicians #CPPP #PensionPlanning

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“This is validation for the movement we’re leading to provide women better healthcare,” - Joanna Strober, co-founder and chief executive of Midi Health. Women's telehealth company Midi Health has raised $100 million in a Series D funding round, valuing the women’s telehealth company at more than $1 billion and cementing its status as a unicorn. The round was led by Goodwater Capital, with new backing from Foresite Capital and Serena Ventures, alongside existing investors including GV (Google Ventures), @Emerson Collective, McKesson Ventures, Felicis Ventures, AVP | Advance Venture Partners and SemperVirens VC. The funding marks one of the largest recent raises in women’s digital health. https://lnkd.in/eiUaVJai

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Too many startups assume: 𝙩𝙝𝙚𝙧𝙚’𝙨 𝙖 𝘾𝙋𝙏 𝙘𝙤𝙙𝙚 → 𝙩𝙝𝙚𝙧𝙚𝙛𝙤𝙧𝙚 𝙩𝙝𝙚𝙧𝙚’𝙨 𝙖 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨. Reality is rarely that linear. Viability tends to unfold in fits and starts, shaped by payer coverage, provider workflows, and the real operational burden behind reliable billing. ⚙️📉 Inspired by Matt Kamen's excellent post on CPT adoption curves & the recent ACCESS discussion, we’re sharing our internal framework: 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐀𝐬𝐤 𝐁𝐞𝐟𝐨𝐫𝐞 𝐁𝐞𝐭𝐭𝐢𝐧𝐠 𝐨𝐧 𝐚 𝐍𝐞𝐰 𝐁𝐢𝐥𝐥𝐢𝐧𝐠 𝐂𝐨𝐝𝐞 It goes deeper than payment policy — covering clinical and documentation requirements, enrollment and service mechanics, operational readiness, and the maturity of the CPT pathway. 🧠📋 If you’re evaluating a CPT-driven business model — or working with someone who is — comment “𝘾𝙋𝙏” below + DM me & I’ll share the document. 📄➡️ #startups #HealthcarePolicy #HealthTech #CMMI #ACCESSModel #Medicare #DigitalHealth

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Clinicians want to use AI but don’t have the bandwidth to evaluate all the different models. Meet Health Olymp, an AI tool purpose-built for clinicians. Here’s why this matters 👇 1. Health and life science experts gain instant access to frontier models for free. No procurement hoops or IT bottlenecks. Every clinician gets their own sandbox to explore. 2. Clinicians can compare models side by side and pick the one that works best for their use case. That transparency builds trust and sparks ideas for novel AI applications in care delivery, diagnostics, and research. 3. Most AI benchmarks are too generic or disconnected from clinical reality. Health Olymp brings frontline feedback into the loop, helping the industry identify models that perform reliably in real world clinical environments. Congrats to Ruslan Nazarenko and the Lumos team as they put AI model benchmarking directly into the hands of healthcare professionals. ⬇️ (link in comments)

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2025: The State of AI in Healthcare — and Why We Built Cara Menlo Ventures’ new “State of AI in Healthcare” report couldn’t be more on point: AI adoption in health systems has exploded, but the biggest gains so far come from fixing operations, not replacing clinicians. That’s exactly why we built Cara: for every patient touchpoint and for clinical operations behind the scenes. Most “AI in healthcare” tools focus on one slice — intake, notes, triage, or follow-up. But the real problem isn’t the slice, it’s the fragmentation. Every handoff between systems or staff is friction, lost data, or missed opportunity to care. Cara connects those dots -> from patient discovery to scheduling, intake, labs, pharmacy, and follow-up, while automating the ops layer that burns out teams. My 2 cents as a technical cofounder: Healthcare doesn’t need more single point solutions. It needs workflow intelligence that’s safe, explainable, and embedded where care actually happens. That’s what we’re building: One connected AI layer that helps every patient, every time. #AI #HealthcareInnovation #DigitalHealth #HealthTech #GenerativeAI

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