Episode #153. How Tiny Workflow Tweaks Can Reduce Massive Physician Burdens, with Jason Hill & David Leingang
Thoughtful, problem-first innovation—not hype—drives real clinical impact in healthcare.
In this episode, Saul Marquez and Ed Gaudet from Censinet host Dr. Jason Hill, Innovation Officer at Ochsner Health, and David Leingang, Director of Innovation Data Science at Ochsner Health, to discuss how their team uses machine learning, workflow redesign, and data-driven insights to reduce physician message burden, improve patient routing, and guide clinical programs. They explain how analyzing 2.4 million annual inbox messages uncovered that 4% were related to weight-loss drugs, which led to a new weight-management digital medicine program rather than an AI tool. Both guests describe how reorganizing message flows and using e-visits reduced unnecessary back-and-forth, how machine learning helps uncover root causes of system strain, and how predictive deterioration models saved lives but required retraining once interventions changed patient outcomes. They also explore value-based care, the challenges of identifying solvable problems, and why the first and last mile of AI—defining the problem and integrating into workflows—remain the hardest. Jason and David close with a discussion of the AHEAD Network, connecting universities, healthcare systems, and industry to accelerate innovation.
Tune in and learn how practical AI, smarter workflows, and cross-industry collaboration are reshaping modern healthcare!
Resources:
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Connect with and follow Jason Hill on LinkedIn.
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Follow and connect with David Leingang on LinkedIn.
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Follow Ochsner Health on LinkedIn and explore their website!
For more information and ways to increase risk awareness and safety, visit us at www.censinet.com.
Music by David Cosgrove an accomplished composer, musician, producer, and engineer. Listen to his latest project Del Piombo.
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