This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to outcomesrocket.com
Thoughtful, problem-first innovation 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 and improve patient routing. They share how analyzing 2.4 million inbox messages revealed that 4% were tied to weight-loss drugs, prompting the creation of a new weight-management digital medicine program instead of an AI tool. They explain how reorganizing message flows, adding e-visits, and using ML to uncover hidden system strain has improved efficiency, while predictive deterioration models saved lives but had to be retrained as outcomes changed. The conversation closes with an exploration of value-based care, problem-solving in AI, and the AHEAD Network’s role in advancing healthcare innovation.
Tune in and learn how practical AI, smarter workflows, and cross-industry collaboration are reshaping modern healthcare!
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By Saul Marquez
4.9
112112 ratings
This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to outcomesrocket.com
Thoughtful, problem-first innovation 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 and improve patient routing. They share how analyzing 2.4 million inbox messages revealed that 4% were tied to weight-loss drugs, prompting the creation of a new weight-management digital medicine program instead of an AI tool. They explain how reorganizing message flows, adding e-visits, and using ML to uncover hidden system strain has improved efficiency, while predictive deterioration models saved lives but had to be retrained as outcomes changed. The conversation closes with an exploration of value-based care, problem-solving in AI, and the AHEAD Network’s role in advancing healthcare innovation.
Tune in and learn how practical AI, smarter workflows, and cross-industry collaboration are reshaping modern healthcare!
Resources
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