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Cumulus: A federated EHR-based learning system powered by FHIR and AI.
Andrew J McMurry1,2, Daniel I Gottlieb1,3, Timothy A Miller1,2
1Computational Health Informatics Program, Boston Children's Hospital, Boston, MA.
Medrxiv : the Preprint Server for Health Sciences
|February 19, 2024
Summary
Cumulus software enables scalable, federated data sharing from electronic health records (EHRs) using cloud technology and AI. This open-source solution facilitates population health studies while preserving patient privacy through aggregate data sharing.
Area of Science:
- Health Informatics
- Artificial Intelligence
- Data Science
Background:
- Large-scale electronic health record (EHR) data exchange faces significant challenges.
- Standardized data access across healthcare systems is crucial for research and public health.
Conclusions:
- Cumulus effectively addresses data sharing barriers by leveraging standard APIs, cloud computing, and AI advancements.
- The software demonstrates potential for scalability to support learning across diverse network configurations and use cases.
- A policy of sharing only aggregate data significantly facilitated data sharing agreements and privacy preservation.
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