Healthfirst driving digital transformation through data & analytics
summary
Healthfirst describes moving 80% of core systems into a zone-based cloud architecture on AWS, using Redshift + Tableau dashboards to surface millions of rows for operational use, then adding a data science landing zone, graph databases, and pilots with Amazon Textract and Comprehend Medical. A readmission model goes from prototype to daily nursing lists, a rules‑based fraud graph leads to removal of 300 providers, and social‑determinant imputation targets small pilots (hundreds) for Lyft rides rather than full population rollout.
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chapters (23)
- 0:00Introduction
- 2:50My background in public health
- 7:30On paper
- 11:28Digital strategy
- 13:02What is Healthfirst
- 14:06What sets Healthfirst apart
- 15:44Analytics
- 19:14Architecture
- 21:48Challenges
- 29:41Machine led data
- 33:05First data science model
- 37:15Future of Healthfirst
- 38:50Future trends
- 41:13Turning things into products
- 42:21Compliance
- 45:35Dashboards
- 47:24Data privacy
- 49:04Data exchange
- 52:54Data science challenges
- 53:27Enterprise analytics
- 55:18Interoperability
- 56:13Standardsbased data exchange
- 57:58Summary
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