Seema Verma’s Post

#OracleHealth has integrated generative #AI into its patient portal, giving patients better access to their medical data. They are introducing other AI-driven products, including an autonomous reimbursement platform and an agentic #EHR system driven by ambient listening. They also announced the new Oracle AI Center of Excellence for Healthcare, designed as a hub of expertise and resources for hospitals and health systems deploying AI technologies. Patients can now ask questions like "What were the results of my latest labs?" directly within Oracle Health's patient portal. https://ow.ly/7g1m50WVpKX

AI agents hold huge promise in healthcare—but their success depends on one thing: clean, connected, AI-ready data. This recent article, by Jing Lin Lee, on AI Agents in Healthcare highlights how messy, siloed information holds back innovation. That’s exactly what Health Gorilla, as a QHIN, works to solve by delivering interoperable, longitudinal patient data that makes AI truly perform. 📖 Read it for yourself here: https://lnkd.in/gk8XubhQ

The speed of AI in healthcare is nothing short of amazing. From LLMs automating documentation to predictive models triaging care, innovation is charging ahead. But here’s the catch: the infrastructure to govern it is still dragging its feet. This article from Daniel Vreeman highlights that standards aren’t “nice extras” anymore. They’re as essential as roads are to cars. Without shared frameworks for how AI is built, validated, monitored and explained, we risk a patchwork system full of black boxes and unequal care. Key takeaways: AI governance isn’t optional. We need consistency on safety, versioning, bias tracking, and it needs to be baked into systems. Smaller hospitals and rural clinics can’t be afterthoughts. If we don’t help them adopt trustworthy AI, the tech divide grows. There are models to follow. TEFCA shows us what alignment of policy + standards + private-sector participation looks like. Let’s build on that. 👥 Call to action: Providers, payers, vendors & regulators: let’s stop treating governance like a “nice to have” and treat it like the public utility it truly is. Because without it, trust erodes even as reach expands. #aiHealthcare #LastMileInteroperability

This week in Healthcare IT Today, #HL7’s Chief Standards Development Officer and Chief AI Officer, Daniel Vreeman, explores why #AI in #healthcare is moving faster than the infrastructure to govern it, and what must be done to scale safely. Read more, here 👉 https://hubs.ly/Q03GtB8W0 #Interoperability #FHIR #StandardsMatter #AIStandards

1% of all U.S. physician appointments now run on Commure Ambient AI, totaling over 20 million annualized encounters. In our latest blog, we share lessons from scaling alongside independent practices and community hospitals that shaped our ability to serve the largest health systems in the country: • Why clinics are the fastest proving ground for automation • How real-world feedback loops accelerate innovation • The four factors driving adoption at scale Read the full story: https://hubs.la/Q03G638P0

83% of healthcare providers that have implemented AI have improved experiences. And 55% of healthcare companies have seen gains in their gross margins. https://lnkd.in/eqBRGQry

This week in Healthcare IT Today, #HL7’s Chief Standards Development Officer and Chief AI Officer, Daniel Vreeman, explores why #AI in #healthcare is moving faster than the infrastructure to govern it, and what must be done to scale safely. Read more, here 👉 https://hubs.ly/Q03GtCbk0 #Interoperability #FHIR #StandardsMatter #AIStandards

Oracle's new AI releases aim to maximize value across healthcare Sharing data is just the beginning of what artificial intelligence can do for healthcare, said Seema Verma, GM of Oracle Health and Life Sciences, at the company's annual summit. https://lnkd.in/gSm8vrer

As hospitals and health systems rapidly deploy AI, trust is a brand imperative. Gregg Killoren of @XsolisHealth asks: Are consent forms the right medium for AI transparency? Or are we putting too much on the patient? This is a must-read for healthcare IT, compliance, and executive leaders managing AI adoption: - Why “opt-out” policies may not be practical or fair - How embedded AI affects patient expectations - The potential for third-party frameworks like @Coalition4AI (CHAI) to standardize trust More than legal compliance, this is about strategic communication and governance. AI transparency must evolve alongside the tools themselves. How is your team addressing the transparency challenge? https://lnkd.in/g_mefmr3 #AIinHealthcare #DigitalHealth #HealthITLeadership #TrustInTech #ResponsibleAI