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Waiting in a hospital is not just frustrating—it’s costly, risky, and fixable. We sit down with Michael Guidry from Teletracking to unpack how smart operations, grounded in AI and clear workflow design, can turn stalled discharge lists into steady movement, open beds sooner, and get patients to the right place without the usual maze of phone calls and guesswork. Think “air traffic control” applied to care access and bed turnover, with a practical lens on what actually works on the floor.
We dive into the stubborn length‑of‑stay problem and why shaving hours—not just days—creates real capacity for the ED and beyond. Michael explains why Teletracking trains models at the facility level to reflect local services, staffing, and patterns, and how Decision IQ uses clinical signals like orders, labs, and imaging to prioritize discharge work. We also explore where generative AI shines now—ambient documentation that gives clinicians time back—and where it needs careful guardrails, keeping a human in the loop and building trust with transparent reasoning.
There’s a look under the hood at partnerships and platforms too. By building on Palantir’s secure analytics and AI stack, the team can focus on hospital‑specific optimization instead of infrastructure plumbing. And with computational twins—data‑driven simulations adapted from industries like aerospace—leaders can test the impact of prioritizing ED versus PACU before changing policy on a live unit. Add in practical governance tips, from extending existing councils to clarifying data lineage, and a clear picture emerges: technology should fade into the background so clinicians can face patients, not screens.
If you care about patient flow, discharge readiness, and hospital capacity management, this conversation offers concrete tactics and a hopeful roadmap. Subscribe, share with a colleague who lives the bed crunch, and leave a review with the one workflow you’d automate first.

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