📄 YouTube DescriptionEveryone is talking about AI in healthcare — but most organizations are still stuck on where to start, which tools to trust, and how to move from a pilot to something that actually changes day-to-day operations.Recorded live on the floor at HIMSS, this conversation features Austin Montgomery, VP of Partnerships at Prominence Advisors, and Andrew Williams, Director of Data Science — the healthcare data and AI enablement company helping health systems build AI-fluent organizations.Andrew cuts through the hype to explain what AI in healthcare actually means beyond chatbots, why point solutions often fall short, and how the shift from "what you can specify" to "what you can verify" is changing how organizations build and scale AI solutions.🔗 Learn more at prominenceadvisors.com or follow Prominence Advisors on LinkedIn.⏱️ YouTube Timeline0:37 — Introduction — Meet Austin Montgomery and Andrew Williams from Prominence Advisors0:59 — AI is not just ChatGPT — the full spectrum of healthcare AI tools2:13 — Scaling KPI monitoring, anomaly detection, and expert bottleneck removal2:58 — Operating at the top of your license — the north star for healthcare AI3:25 — Myth vs. reality — what organizations get wrong about AI in healthcare3:52 — Point solutions vs. platform approaches — how to evaluate the difference4:56 — UC Davis's Tiger platform — GenAI enabling text exploration at scale6:03 — Building an AI-fluent organization without bottlenecking on data scientists6:28 — What roles and processes does an AI strategy actually need?7:00 — AI fluency as the new literacy — not a job title, a capability8:08 — How process governs the leap from fluency to a portfolio of AI value9:20 — Managing the explosion of AI output with old adoption methods10:18 — Andrej Karpathy's framework — from "what you can specify" to "what you can verify"11:31 — Using LLMs to handle boilerplate and free teams to focus on outcomes12:51 — How to frame getting started with AI for organizations asking "where do we begin?"13:39 — The fine line between a pilot and production — solving end-to-end in a narrow domain14:38 — What comes after the dashboard — anomaly detection, root cause analysis, and natural language query15:55 — From narrow use case to reusable building blocks and scalable frameworks16:25 — Building the muscle for taking AI assets into production for the first time17:09 — Closing remarks and how to connect with Prominence Advisors🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

The Joint Commission has never focused on staffing mandates before — until now. In 2026, everything changed. And most hospitals are still relying on paper records stuffed in filing cabinets to prove they're compliant.In this episode, Process Street CRO Jerry Dimos sits down with Dr. Sarah Inman, SVP of Healthcare Strategy at Improv and a former clinical staffing manager overseeing 400 nurses and patient care technicians. Together they break down what the Joint Commission's new Accreditation 360 framework actually means on the ground, why manual compliance processes are unsustainable in the middle of a nursing crisis, and how automation and agentic AI may be the only realistic path forward.Topics covered:The Joint Commission's brand new staffing mandates for 2026Why Joint Commission visits cause panic even in well-run hospitalsThe root cause of compliance failures — manual processes and lack of forward planningAccreditation 360 — shifting accountability from frontline nurses to the C-suiteThe gap between written policy and what actually happens on the groundHow Process Street automates clinical competency workflows and compliance documentationThe nursing crisis and why adding documentation burden without automation is dangerousWho should own the automation decision — nurses, CTOs, or CNOs?Where agentic AI in healthcare is headed over the next three to five years⏱️ YouTube Timeline0:00 — Introduction — Meet Jerry Dimos and Dr. Sarah Inman0:43 — Dr. Inman's background — 20 years managing clinical staffing1:39 — The Joint Commission's new focus areas for 20261:43 — What makes 2026 different — brand new staffing mandates2:52 — Why Joint Commission visits cause stress and anxiety on the ground3:10 — The universal experience — that audible gasp when they walk in4:02 — Paper records, filing cabinets, and the human element of compliance4:54 — Root cause of compliance failures across hospitals of every size5:16 — Manual processes, lack of forward planning, and the day-to-day grind5:43 — Hospitals spend millions on tech but still run compliance manually6:03 — How Dr. Inman discovered Process Street and the time she would have saved6:57 — Where attention goes — patient care technology vs. compliance workflows7:51 — The palpable relief when leaders realize automation is possible8:02 — Accreditation 360 — from static compliance to dynamic, outcome-driven accountability8:20 — Shifting pressure from frontline nurses to CNO and C-suite leaders9:25 — Turning accountability into reliable, executable processes9:51 — The gap between written policy and what actually happens on the ground10:50 — Can't find the document when you need it most — the Joint Commission scramble11:53 — Patient safety risk when policies aren't clearly documented12:01 — Who owns the accreditation program under the new framework?12:39 — The nursing crisis and adding documentation burden without automation13:31 — Automation as one of the only realistic paths forward14:23 — Advice for nurses and executives — raise it up and look into what's out there14:46 — Should the CTO or nurses drive the automation decision?15:33 — Burnout prevention as a core pillar of Accreditation 36015:52 — A critical decision point — keep scrambling or fix it for good?16:00 — What Dr. Inman is seeing in the field — conversation vs. meaningful action17:13 — Final question — how will agentic AI help hospitals meet the bar?17:45 — Healthcare's shift toward evidence-based AI adoption18:29 — Prediction — healthcare will lead agentic AI adoption in the next 3–5 years19:09 — A future where every nurse has their own personal AI agent19:26 — Not all hospitals are ready — that's where Process Street and Improv come in19:39 — Closing takeaways and what's coming next🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1

More than 60% of surgeries in the US are performed on aging patients — and hospitals are sending them home earlier than ever before. The risk profile hasn't changed. The oversight has.In this episode, EzyBandz COO Eric Grayson sits down with CEO and co-founder Tony Martelli to introduce the EzyBandz Guardian One — a next-generation medical alert platform built specifically for post-discharge and transitional care programs. Tony shares how a personal experience supporting a family member with a disability led him to reimagine what a modern medical alert solution should look like, and why the timing for this technology has never been better.🔗 Learn more at ezybandz.comTopics covered:The personal story behind the founding of EzyBandzWhy most medical alert systems were built decades ago and haven't evolvedThe aging population as the fastest growing segment in US healthcareThe structural gap between remote patient monitoring (RPM) and continuous safety monitoringHow the Guardian One works — always-on, cloud-connected, no base station requiredWhy the 30 to 90 days after hospital discharge is the highest risk windowHow EzyBandz complements rather than replaces existing RPM programsWhy technology, economics, and care models have all aligned right now to make this possibleThe future of EzyBandz and the complete remote care model⏱️ YouTube Timeline0:00 — Introduction — Meet Eric Grayson and Tony Martelli from EzyBandz0:28 — The personal story behind founding EzyBandz1:29 — Built for hospital discharge teams and care at home programs2:10 — The addressable market — aging population and chronic conditions3:30 — The structural gap in post-discharge care and why predictable risk must be managed3:37 — Remote patient monitoring vs remote activity monitoring — two different needs4:30 — How EzyBandz fills the gap during the highest risk 30 to 90 days post discharge4:43 — What makes Guardian One more compelling than existing solutions on the market5:33 — How EzyBandz sits alongside existing RPM programs as a continuous safety layer6:31 — Why this is happening now and not five years ago7:15 — Launching into the US focused on post-discharge and transitional care7:52 — The future of EzyBandz and the complete remote care model🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization