Dave Atkins

Foundational models are so good that commoditization is inevitable. Most ambient scribe companies realize they have to pivot or at least expand offerings. But is there any AI tool or suite of offerings that creates enough inherent value or creates a big enough moat that commoditization is no longer a concern? The buy v. build question lingers. In this case, it may be best to “buy” a really good in-house SWE (or two) with the expertise to build AI tools based on base ChatGPT, Gemini, Claude, etc. OpenAI, Anthropic, and others have their own lofty valuations to justify, and at some point they'll have to show meaningful monetization and sustainable business models. Chances are they won't stop building additional functionality themselves (e.g., ChatGPT's recently released agentic tool). Hard to imagine investors realizing ROI given how frothy the market is unless there is significant market consolidation and one or two clear winners. If things continue as they are, even Orthopedic Surgeons will be able to easily build their own suite of AI-powered practice management tools with little effort! 🤣

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HHS just asked the most important question in healthcare: How do we fix payment and regulations to actually enable AI adoption? On December 4, the Department released its AI strategy alongside a Request for Information that cuts straight to the core problem. They're not asking IF we should use AI in healthcare anymore. They're asking HOW to restructure the entire system to make it work. Think about the implications here. We have over 1,300 FDA-approved AI medical devices. Yet most collect dust because Medicare won't pay for them. Only 2 CPT codes exist for newer AI applications despite hundreds of cleared devices. HHS is essentially saying: Tell us how to blow up these barriers. The RFI seeks input on three game-changing areas: 📋 Regulatory reforms to speed AI deployment 💰 Payment restructuring to incentivize AI adoption 🔬 R&D investments to prove clinical value This isn't another government report that will gather dust. Acting Chief AI Officer Clark Minor is leading this with real authority. The FDA already deployed agentic AI systems agency-wide on December 1st. ChatGPT is available to all HHS employees today. They're practicing what they're preaching. But here's what makes this moment different: They're admitting the current system is broken. No more pretending that 510(k) clearance equals reimbursement. No more hoping MACs will magically start covering AI. No more waiting for CPT codes that never come. The 60-day comment period is your chance to reshape healthcare delivery. Every FQHC struggling with staffing shortages. Every imaging center drowning in volume. Every hospital trying to reduce readmissions. This is your moment to tell HHS exactly what payment and regulatory changes would unleash AI in your organization. Because if we get this right, we're not just adding tools to healthcare. We're fundamentally changing how care gets delivered. The question isn't whether AI will transform healthcare anymore. It's whether our payment and regulatory systems will let it happen fast enough to save lives. What regulatory barrier would you eliminate first? ♻️ Repost if healthcare payment systems need to catch up with technology 👉 Follow me, Jonathan Govette, for real-time updates on healthcare technology and business news. LinkedIn Profile: https://lnkd.in/gWyNQkDn

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Billions are at stake in Hospital Price Transparency—and the industry is only scratching the surface. I recently joined Dr. CJ Wolf on the Healthicity Compliance Conversations Podcast to unpack: • Why CMS enforcement is finally getting teeth • How machine-readable files (HPT + TiC) expose negotiated rates like never before • Why penalties aren’t the biggest driver—fiduciary risk is • How automation can turn transparency data into real-time surveillance 👉 Listen here: Hospital Transparency in 2025: What’s Changed and What’s Coming https://lnkd.in/ejme9JkR “Transparency isn’t just a compliance exercise—it’s a competitive advantage for payers, providers, and employers who actually use the data.” Thanks to @CJ Wolf and @Healthicity for having me on. #PaymentIntegrity #PriceTransparency #HospitalCompliance #RevenueIntegrity #HealthcareData #FiduciaryDuty Pricetransparency.com Amspredict.com

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ChatGPT Agent: Your License to Thrive in Oncology OpenAI just launched ChatGPT agent, a groundbreaking system empowering ChatGPT to tackle complex, multi-step tasks from start to finish. It’s a unified intelligence, blending web interaction and deep research to become your ultimate strategic asset. Your Mission Brief: An Expert Assistant with Q's Gadgets Imagine a top-tier field agent, equipped with Q-Branch's latest innovations, ready for critical missions. ChatGPT agent is precisely that for oncology. It's an action-oriented operative that understands your objectives. Instead of spending precious hours on reconnaissance—sifting journals or navigating payer portals—you issue your orders. This agent intelligently infiltrates databases, analyzes complex data, and distills critical intelligence. It's like delegating to a trusted team member who executes the mission, maintaining discretion and keeping you informed. This "agent" operates with digital agility. If a task requires secure access (with your authorization), it navigates systems, extracts vital info, and compiles arguments for prior authorizations or appeals. It takes your directive and orchestrates intelligent steps to get the job done, ensuring you’re always in control. ChatGPT agent offers unparalleled potential to optimize workflows and elevate patient care. It can help you complete important missions like these today: Rapid Literature Reviews: "Conduct a review of latest research on novel targeted therapies for specific oncogenic mutations, summarize for our tumor board, highlighting clinical trial data from ASCO 2025." Immunotherapy Toxicity Management: "Compile best practices for managing immune-related adverse events (irAEs) like cardiotoxicity/neurotoxicity, creating a concise guide for clinical staff." Building Prior Authorization Docs: "Review EHR for documentation to support prior authorization for a novel anti-cancer regimen, and draft a compelling medical necessity letter." Fighting Denials & Appeals: "Analyze an insurance denial for a biologic, pinpoint reason, gather supporting evidence, and draft a robust appeal letter for peer-to-peer discussion." Streamlining Peer-to-Peer Reviews: "Prepare a concise case summary for an upcoming peer-to-peer discussion, highlighting patient's unique presentation and rationale for proposed therapy." Personalized Genomic Data Retrieval: Under supervision, "securely access patient genomic sequencing results and integrate with historical treatment responses to summarize key insights for a precision oncology clinic visit." Synthesis of Complex Clinical Guidelines: "Compare latest guidelines from ASCO and ESMO for advanced pancreatic cancer, pinpoint discrepancies and recommend stratified treatment pathways." Your Mission Starts Now: ChatGPT agent is rolling out starting today. Hit the drop down menu on your GPT and select ‘agent’. AI in Precision Oncology Debra Patt, MD PhD MBA Ravi B. Parikh Sanjay Juneja, M.D.

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