Becker’s Healthcare Podcast Jason Hill, Innovation Officer, Ochsner Health
Nov 29, 2025
In this discussion, Jason Hill, Innovation Officer at Ochsner Health and a skilled hospitalist with a background in engineering and clinical informatics, explores the fast-paced advancements of AI in healthcare. He shares insights on the promising use of ambient listening and vocal biomarkers, while addressing operational challenges and ethical risks in AI deployment. Jason emphasizes the importance of frontline clinician feedback for meaningful technological progress and reflects on the need for supportive legislation, especially for rural health innovation.
AI Snips
Chapters
Transcript
Episode notes
Ambient Listening As A Platform
- Ambient listening is emerging as a foundational generative AI use case that can change clinical workflows beyond simple scribing.
- It can enable vocal biomarkers, automated revenue cycle tasks, and voice-as-platform integrations that drive care and business processes.
Automate Revenue Cycle Pain Points
- Prior authorization, denials, and revenue cycle tasks are highly automatable and hide significant waste.
- Treat denials as a major source of inefficiency and target them alongside front-end automation for biggest ROI.
Pilot Agentic Voice AI First
- Pilot voice and agentic AI use cases in both clinical and nonclinical workflows to validate value.
- Use proofs of concept with partners (e.g., Hippocratic) before broad rollout to manage risk and learn fast.