# #234: Innovating with Data in Healthcare: Part Two

Page: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/234-innovating-with-data-in-healthcare-part-two
Text version: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/234-innovating-with-data-in-healthcare-part-two.md
Podcast: [Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science](https://stenobird.com/podcast/data-futurology-leadership-and-strategy)
Published: 2023-05-31T03:29:33+00:00
Episode link: https://podcasters.spotify.com/pod/show/datafuturology/episodes/234-Innovating-with-Data-in-Healthcare-Part-Two-e24v5t8
Audio file: https://anchor.fm/s/3fab060/podcast/play/71325032/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-4-31%2F9678ed75-a702-8bb4-2907-4418027d018b.mp3
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JSON: https://stenobird.com/v1/public/podcasts/data-futurology-leadership-and-strategy/episodes/234-innovating-with-data-in-healthcare-part-two
Duration seconds: 2595

## Resource

Felipe explores how Honeysuckle Health uses predictive modeling and behavioral science to drive preventative care. The discussion highlights the immense difficulty of coordinating data across fragmented healthcare stakeholders to improve patient outcomes.

## Highlights
- Main idea: Effective healthcare AI requires building tools that align the specific incentives of GPs, specialists, and insurers
- Practical takeaway: Successful implementation relies on creating a two-way feedback loop between clinical practitioners and health insurers
- Failure mode: Treating healthcare as a pure technology problem ignores the massive effort required for data creation and stakeholder alignment
- Main idea: Predictive models are most effective when paired with behavioral science to motivate patient engagement
- Practical takeaway: Use experience in high-security sectors like banking to implement robust information security and data standards in healthcare

## Topics

Healthcare Analytics, Predictive Modeling, Data Engineering, Preventative Medicine, Behavioral Science, Health Informatics, Stakeholder Management, Digital Transformation

## Chapters
- 4:10 — Transitioning to Purpose-Driven Data Science: Felipe discusses moving from financial services to healthcare to apply data science toward more positive human outcomes.
- 7:30 — Building the Data Team: A look at the early days of joining Honeysuckle Health and scaling the analytics team.
- 10:40 — Predictive Care and Behavioral Science: How personalized recommendations and behavioral science are used to drive preventative health interventions.
- 17:10 — Security and Data Standards: Applying rigorous information security and identification standards from the banking sector to healthcare data.
- 20:30 — Engaging the Healthcare Ecosystem: Strategies for building technology that caters to the specific needs of GPs and family doctors.
- 23:40 — The Power Behind the Startup: Discussing the financial, technological, and IP resources supporting Honeysuckle Health's long-term strategy.
- 40:00 — The Data Creation Challenge: Why data science in healthcare is more about organizational alignment and data creation than just algorithmic modeling.

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## Transcript

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