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תוכן מסופק על ידי Evan Kirstel. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Evan Kirstel או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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How Teletracking Uses AI to cut delays, free capacity, and keep patients moving safely

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Manage episode 509330837 series 3499431
תוכן מסופק על ידי Evan Kirstel. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Evan Kirstel או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Interested in being a guest? Email us at [email protected]

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.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

פרקים

1. Setting The Stage: Teletracking (00:00:00)

2. Michael’s Background And Mission (00:00:26)

3. Patient Flow: Beyond Clinical Systems (00:00:45)

4. The Length‑Of‑Stay Problem (00:01:26)

5. “Air Traffic Control” For Patients (00:02:27)

6. Turning Beds Like Turning Planes (00:03:20)

7. Training AI At Facility Level (00:04:05)

8. Decision IQ And Clinical Signals (00:04:57)

9. Generative AI: Real Use vs Hype (00:05:22)

10. Human‑In‑The‑Loop And Trust (00:06:18)

11. Unexpected Wins: Shared Awareness (00:07:00)

12. Moving Faster With Better Tooling (00:08:19)

13. Partnering With Palantir (00:08:39)

14. Beyond AI: Computational Twins (00:09:33)

15. Governance, Adoption, And Trust (00:10:45)

16. The Next Two Years: Less Friction (00:12:15)

17. Closing And Viewer Invitation (00:13:40)

517 פרקים

Artwork
iconשתפו
 
Manage episode 509330837 series 3499431
תוכן מסופק על ידי Evan Kirstel. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Evan Kirstel או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Interested in being a guest? Email us at [email protected]

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.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

פרקים

1. Setting The Stage: Teletracking (00:00:00)

2. Michael’s Background And Mission (00:00:26)

3. Patient Flow: Beyond Clinical Systems (00:00:45)

4. The Length‑Of‑Stay Problem (00:01:26)

5. “Air Traffic Control” For Patients (00:02:27)

6. Turning Beds Like Turning Planes (00:03:20)

7. Training AI At Facility Level (00:04:05)

8. Decision IQ And Clinical Signals (00:04:57)

9. Generative AI: Real Use vs Hype (00:05:22)

10. Human‑In‑The‑Loop And Trust (00:06:18)

11. Unexpected Wins: Shared Awareness (00:07:00)

12. Moving Faster With Better Tooling (00:08:19)

13. Partnering With Palantir (00:08:39)

14. Beyond AI: Computational Twins (00:09:33)

15. Governance, Adoption, And Trust (00:10:45)

16. The Next Two Years: Less Friction (00:12:15)

17. Closing And Viewer Invitation (00:13:40)

517 פרקים

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