Data migrations in healthcare have a reputation — difficult, delayed, expensive, and sometimes never fully completed. Years after an EHR go-live, organizations are still running legacy support contracts, paying for systems they should have left behind, and leaving clinical data stranded in systems no one can access.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Kaitlin from Quoris — a 26-year-old women-led healthcare IT consulting and staffing firm operating in 10 countries — to talk about what it actually takes to move documentation and data cleanly, on time, and without disrupting patient care.🔗 Learn more at Quoris.com🏥 EHR implementation, optimization, and data migration for healthcare systems across 10 countries — with a true partnership model that doesn't walk away after go-live📋 FastLane — Quoris's proprietary methodology that keeps Epic gallery migrations on time and on target without adding third-party tools or extra layers to the tech stack🔒 Data security and clinical access during migration — clinicians and HIM teams can access patient information throughout the extraction process🌍 Global reach with a local feel — navigating regulatory environments, cultural differences, and relationship-driven healthcare across international markets⏱️ Timeline0:00 — Introduction — Legacy documentation systems and what it takes to move them without disrupting the business0:27 — Who Quoris is — 26 years in healthcare IT across 10 countries1:10 — How Quoris operates in a saturated healthcare IT market — true partnership over product delivery1:59 — Making global healthcare IT work across borders regulations and cultures3:18 — Quoris as a women-led organization and what that brings to the industry5:35 — What outside firms still get wrong about healthcare after 26 years6:20 — Why data migrations get stuck and how FastLane was built to solve that7:47 — What FastLane actually does — structured approach automation and proprietary methodology8:09 — What a typical engagement looks like — up and running within two weeks of contract signature9:12 — Data in multiple places is fine — on-prem hybrid and cloud all supported9:21 — The right questions to ask when evaluating a migration partner — and what good answers look like🔔 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

Technology is changing every few weeks in healthcare — and health system leaders are expected to keep up, upskill their entire workforce, govern AI responsibly, and still deliver measurable outcomes. That is the reality for Sha, CDIO at Baptist Health of South Florida.In this episode, Sha sits down to share his unfiltered perspective on what it actually takes to lead digital transformation at scale — from the decision to go all-in on Epic without customization, to the data quality principles underpinning their AI strategy, to why agentic AI access control is still unsolved, and whether he would let a robot operate on him in five years.Topics covered:Leading technology transformation at Baptist Health of South FloridaWhy technology is changing every few weeks and what that means for workforce upskillingThe two foundational priorities — AI literacy across the organization and robust governanceWhy Baptist chose Epic and the principle of staying close to the foundation⏱️ YouTube Timeline0:00 — Introduction — Meet Sha CDIO at Baptist Health of South Florida0:39 — The intensity and excitement of leading transformation at Baptist Health1:05 — Technology is changing every few weeks — what that means for leaders2:09 — Core principles for driving measurable outcomes in a fast-moving environment2:40 — Infrastructure foundation upskilling and why quarterly training is already dead3:38 — AI governance — non-deterministic by nature and not easy to implement4:20 — Making sure all stakeholders are represented in the governance structure4:50 — The challenge of AI adoption at scale — turning traditional workers into AI-enabled workers5:55 — The Epic decision — choosing a foundation and sticking close to it6:05 — Why Baptist selected Epic and the principle of minimal customization7:07 — Using Epic's best practice data to structure workflows faster and more stably8:13 — Top AI use cases — ambient listening scheduling imaging and clinical decision support9:42 — Automated workflows reducing patient wait times for urgent studies10:35 — Provider burnout is real and clinical decision support is the next game changer11:24 — The three data challenges — quality at the source velocity and security12:45 — Five years of data investment that prepared Baptist for the current AI wave13:10 — Healthcare is the most attacked vertical — the cybersecurity conversation14:02 — Layered security prevention monitoring and the human element as the weakest link14:54 — Resilience and business continuity beyond just security tooling15:59 — Built-in security vs bolted-on security as agentic AI sprawls across systems16:49 — Agentic AI expands the attack surface and access control is still not solved17:17 — What happens when your workforce depends on agents that suddenly go down17:52 — Three-year prediction — end-to-end workflow automation at a scale not yet appreciated19:20 — Who captures the capacity freed by automation will define the next generation of healthcare20:11 — Would you let a robot perform surgery on you in five years?20:17 — Yes — and why LASIK proves the model for what comes next21:31 — A message of gratitude to nurses physicians and every patient-facing provider22:14 — Technology and IT exist only to support the people who actually deliver care23:33 — Closing remarks — leaders drive the change and AI is there to enable better outcomes🔔 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

A modern hospital can have 40,000 endpoints — laptops, lab stations, nursing workstations, medical IoT devices — and a razor-thin IT team responsible for keeping every single one of them patched, compliant, and secure. Miss just one, and attackers will find it.Recorded live at HIMSS 2026, this conversation features an IT specialist from HCL Software breaking down how BigFix IO is helping healthcare organizations move from reactive patching to proactive, automated endpoint management — at scale, across heterogeneous environments, and with AI-powered remediation bots that work around the clock.Topics covered:Why healthcare IT environments are uniquely complex and difficult to secureThe ransomware threat and why unpatched devices are the entry point attackers exploitHow BigFix IO provides complete asset visibility and compliance across 100+ operating systemsA real customer case study — from 60% to 97% compliance across 40,000 endpoints in two monthsPatching 100,000 endpoints in under an hour with smart scheduling and rollback policiesManaging legacy systems and heterogeneous environments in healthcareHow AI and agentic bots are automating level zero and level one IT tasksConversational bots for patients, IT provisioning, and onboarding through chat, mobile, and voiceThe future of AI in healthcare IT operations⏱️ YouTube Timeline0:00 — Introduction — Live at HIMSS 2026 with HCL Software's IT specialist Rajneesha0:26 — The state of healthcare IT — 40,000 endpoints and a thin IT team0:41 — Why managing and securing a modern hospital environment is a nightmare1:37 — Patching at scale — why it is far more complex than clicking a system update1:50 — Legacy systems, compliance documentation, and the cost of missing a single device2:34 — How attackers exploit unpatched healthcare environments and why downtime is a patient safety issue3:24 — Introducing BigFix IO — a single platform for compliance, visibility, and automation4:30 — BigFix is industry-agnostic — built for speed scale and complete compliance intelligence5:03 — Real customer case study — 60% to 97% compliance across 40,000 endpoints in two months6:15 — Heterogeneous environments — managing 100 plus operating systems including legacy systems6:30 — Patching 100,000 endpoints in under an hour with smart scheduling and rollback policies7:56 — AI in healthcare IT — where the technology has matured and what is now possible8:10 — Agentic bots for auto-remediation and reducing the burden on lean IT teams9:01 — Conversational bots for patients and IT users via chat mobile and voice10:19 — Final thoughts — endpoints are both the biggest opportunity and the biggest vulnerability10:33 — Reaching 98 to 99% compliance in healthcare with BigFix IO🔔 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