Jamie Trigg

Patient satisfaction is critical for any healthcare facility and one of the biggest driving factors is a smooth and timely experience… Long wait times and inefficient hand offs not only impact patient satisfaction but also a facility’s capacity. Optimizing and monitoring patient flow with mindzie’s Process Flow command center is transforming the way healthcare providers operate without having to break the bank when compared to traditional legacy healthcare command center systems. Learn more at www.mindzie.com

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HME providers cannot afford to wait weeks or months for new features. Slow systems = slow innovation. With Valere Health, we make it simple: -Connect systems fast -Keep data moving across platforms -Remove delays caused by vendors COO Chris Kinard explains how this gives providers speed, clarity, and smarter decision-making. Full conversation with Chris linked in the comments. #HME #MedTech #HealthcareInnovation #WorkflowOptimization #HealthcareLeaders

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Interoperability doesn’t happen on its own. Valere builds it. At Valere Health, we create interoperability by: -Connecting EMRs, third-party vendors, distributors, and manufacturers -Automating workflows across those systems -Eliminating manual handoffs and data chasing -Freeing teams to focus on high-value, strategic work Clean connections lead to cleaner execution. Watch the full episode of The Co-Conspirator Track with CSO Madhan Kris Srinivasan and VP of Brand Marketing Caleb Long- linked in the comments.

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If you’re still losing time between feasibility and First Patient In, you’re not alone. But those delays are costing more than time; they’re costing trust, revenue, and repeat studies. Explore the common pitfalls and how real-time, centralized data helps high-performing sites get ahead. 🔗 https://lnkd.in/eXEkq-bF  #ClinicalTrials #SiteSuccess #StudyStartup #ClinicalResearch #Feasibility #TrialActivation #Devana #BetterData #BetterOutcomes

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71% of healthcare payer leaders say GRC is now a strategic capability, not a checkbox. So why are so many still relying on spreadsheets and static trackers, which create blind spots, delays, and compliance gaps that today’s CMS scrutiny won’t accept.   Our new eBook shows how modern, platform-based GRC helps payers gain control, clarity, and compliance, and why it’s becoming a foundational shift in healthcare.   Access the eBook here: https://lnkd.in/gS3fDNRx   #HealthcareCompliance #CMSAudit #HealthPlans

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🌍 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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𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗩𝗮𝗹𝗹𝗲𝘆: build it and they will come.  𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: build it, THEN configure it to fit complex clinical workflows, deeply integrate with EHRs, layer on clinical change management… and only then will they come. It’s taken me over a decade to truly understand why you can’t just “build it” and expect everyone to adopt Digital Health. It’s easy to think: → “This idea is so obvious.” → “Everyone cares about this problem as much as me.” → “Everyone wants this solution to exist as much as I do.” → “Using this product is so intuitive.” In reality, innovators and early adopters are outliers. Early adopters are so passionate about your innovation that they will use the worst version of your product that will ever exist: → They’ll use it even though they have to access it outside the EHR with a separate login and password. → They’ll willingly force it into their complex clinical workflow. → They’ll go above and beyond telling all their colleagues and patients to use it. Which is great… except most people won’t be early adopters. Most people will need as much friction removed as possible to use your Digital Health products: → They’ll need your product’s workflows automated through EHR integration as much as possible → They’ll need the playbook handed to them - what to say to patients, how to fit it in their clinical workflow, etc. → They’ll need the value and ROI sold to them. Because most people won’t be looking for reasons to use your innovation… they’ll be looking for reasons NOT to use it. Job Number 1 of a Digital Health innovator is to build something valuable. Job Number 2 is to have an effective, repeatable playbook for driving adoption. And in many ways, Job Number 2 is both more difficult and more important.

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The challenge of custodians is what we all have to work on to protect individuals and data collectors. Where does the data go?

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Three incredible days at #JPM2026. Same conversation with 10+ health system execs: "We're building our AI strategy. Evaluating vendors. Need to pick the right partners." This sounds familiar. 2009-2012: The EHR decision. After the HITECH Act, health systems spent 18-24 months evaluating Epic vs. Cerner. Consultants. Committees. RFPs. Multi-year implementations. The logic made sense: EHRs were monolithic platforms with huge switching costs. You had to get it right. 2025: The AI decision. I'm watching health systems do the same thing. "AI steering committees." "Strategic AI partner" RFPs. Trying to pick winners. But there's a critical difference: EHRs were a single, massive platform decision. AI in healthcare is dozens of different problems that need dozens of different solutions. Here's what health systems are missing: They're looking for "the AI vendor" when they should be building "an AI portfolio." There's no single AI platform that solves:   → Documentation burden (ambient notes) → Radiology throughput (workflow optimization) → Clinical trials matching → Revenue cycle optimization (across specialties) → Clinical decision support These are different problems. Different technologies. Different vendors. Different timelines. Some need FDA clearance and 24-month validations. Some can pilot in 90 days. Some integrate with Epic. Some replace parts of Epic. You can't solve all of these with one "strategic AI partnership”....no matter that Anthropic is saying right now. <ducks> The AI landscape is evolving too fast for monogamous vendor relationships. 6 months ago: GPT-4 for clinical documentation. Today: Ambient listening, agentic workflows, multimodal imaging analysis. 6 months from now: Something else entirely. That's why you need exposure across the whole landscape—not a bet on one vendor. The mistake I see health systems making: Approach 1: "Strategic Partner" Strategy Pick one AI vendor → Enterprise deal → 3-year commitment → Hope they solve everything Result: You're locked in. Technology moves on. You're stuck in vendor negotiations while competitors move faster. Approach 2: "Portfolio Strategy" Deploy capital across multiple companies → Take equity → Co-develop solutions → Maintain optionality Result: You capture upside. You shape products. You're first to new capabilities. You have relationships across the ecosystem. After 20 years building innovation platforms at JPMorgan, Mousse Partners, Blueprint Health, Junto Health, Atlantic Health: In fast-moving markets, portfolio strategies beat single-vendor bets. Healthcare AI is moving fast. The question isn't "Which AI vendor should we pick?" The question is: "How do we build an AI portfolio that gives us the most optionality" If you're thinking about this, let's talk. 📩 douglas.m.hayes@gmail.com ☎️ 215-620-2032 #healthcareAI #digitalhealth #venturecapital #innovation

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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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