Case Study 7: UCSF Health and H2O.ai—Applying Document AI to Automate Workflows in Healthcare

Ramakrishna Yerramsetty and Lu Chen

UCSF Health

Mark Landry

Landry

Contents

  1. Problem Overview
  2. UCSF: –H2O.ai Partnership
    1. Objectives
  3. H2O.ai’s Document AI
    1. Product Features
    2. Problem Prioritization
  4. Data Science Considerations/Design
    1. Key results from This Successful AI Program
  5. Last Mile: How Do You Enable Workflows with AI?
  6. Feedback Loop: Retraining Models with User Input
  7. What Did We Learn?
  8. What Do We Go Next?
  9. Conclusions
    1. UCSF
    2. H2O.ai
  10. About UCSF Health
  11. About UCSF CDHI
  12. About H2O.ai
  13. About the H2O AI Hybrid Cloud
  14. Notes

Problem Overview

The University of California, San Francisco, health system (“UCSF Health”) receives over 1.4 million faxed documents per ...

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