Case Study at-a-Glance: Mayo-Google Partnership

Partnership between health system and industry that blends a federated learning approach with a data enclave that ensures privacy and security

Key Barriers Addressed

  • Insufficient use of available data at an enterprise level to support care improvement and generate insights
  • Operational challenges of procuring and maintaining sufficient data necessary to develop and refine complex algorithms
  • Lack of trust, particularly in large technology companies

Specific Solutions for Data Sharing between Patients and Clinicians

  • Develop policy and technical controls to support de-identification of structured and unstructured data
  • Use a data enclave, bringing users to data rather than releasing data to users, to enable assiduous data stewardship

Insights for the Field

  • Unlock information in unstructured health data by leveraging the technical/computing capabilities of well-resourced technology firms
  • Ensure transparency around health system-technology company partnerships as an essential component of building trust

From: 12, CASE STUDY: MAYO-GOOGLE PARTNERSHIP

Cover of Sharing Health Data
Sharing Health Data: The Why, the Will, and the Way Forward.
National Academy of Medicine; The Learning Health System Series; Grossmann C, Chua PS, Ahmed M, et al., editors.
Washington (DC): National Academies Press (US); 2022.
Copyright 2022 by the National Academy of Sciences. All rights reserved.

NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.