PLAY PODCASTS
Episode 27: From Alarms to Analytics: How Willis Knighton Health Cut Falls by 35%
Season 1 · Episode 27

Episode 27: From Alarms to Analytics: How Willis Knighton Health Cut Falls by 35%

CarePoints

March 12, 202633m 27s

Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Podcast Episode Summary:

In this episode of CarePoints, Kenny Schiff speaks with Jeremy Dye of Willis Knighton Health about building a comprehensive and sustainable fall prevention program in an inpatient rehabilitation setting. With over 26 years as a physical therapist, Jeremy explains why falls remain one of the most preventable yet damaging adverse events in healthcare, especially among neurologically impaired patients. The conversation explores how Willis Knighton moved beyond traditional tools like bed and chair alarms to adopt a multidisciplinary, tailored approach supported by predictive AI technology. Jeremy discusses the organization's journey with Ocuvera's sensor-based system, including staff adoption challenges, alarm fatigue concerns, and the importance of continuous data review.

This Episode's Guest:

Jeremy Dye is a licensed physical therapist with over 26 years of clinical experience across acute care, outpatient, and inpatient rehabilitation settings. He currently serves as the Performance Improvement and Safety Coordinator for Physical Medicine & Rehabilitation at Willis -Knighton Health in Shreveport, Louisiana.

In his leadership role, Jeremy focuses on patient safety, quality improvement, and fall prevention—particularly for neurologically complex and cognitively impaired patients. Known for his data-driven mindset and collaborative approach, he has helped lead a multidisciplinary fall-prevention program that has achieved significant, sustained reductions in patient falls through thoughtful process design, staff engagement, and predictive AI technology.

Connect: LinkedIn

Key Takeaways

  • Falls are the most common preventable adverse event in healthcare—and prevention requires constant vigilance

  • Effective fall prevention must be multidisciplinary, involving nursing, therapy, and leadership

  • Traditional tools like bed and chair alarms are helpful but insufficient on their own

  • Predictive AI can alert staff before a patient attempt to stand, reducing unassisted falls

  • Staff buy-in is driven by education, transparency, and real-world success stories

  • Alarm fatigue can be minimized through flexible, patient-specific alert settings

  • Continuous data review and feedback loops are essential for sustained success

  • Technology enables results—but people and process make them stick

Connect with Lone Star Communications

☑️ Follow us on YouTube and LinkedIn.

☑️ Let us know what topics you would like to hear about on CarePoints with Kenny Schiff by emailing us at [email protected].

CarePoints with Kenny Schiff by Lone Star Communications is a series of conversations with his collaborators at Lone Star, customers, partners, and notable folks in the healthcare and educational technology industries. For over 33 years, Lone Star Communications has been focused on transforming healthcare and education through innovation.