Reducing readmissions in the safety net through AI and automation.

Journal: The American journal of managed care

PMID: 40053406

Abstract

OBJECTIVES: To implement a technology-based, systemwide readmission reduction initiative in a safety-net health system and evaluate clinical, care equity, and financial outcomes.

Authors

Daniel J Bennett
Jean Feng

Department of Biostatistics, University of Washington, Seattle, WA.
Seth Goldman
Avni Kothari
Laura M Gottlieb
Matthew S Durstenfeld
James Marks
Susan Ehrlich
Jonathan Davis
Lucas S Zier

Zuckerberg San Francisco General Hospital, 1001 Potrero Ave, Room 5G2, San Francisco, CA 94110. Email: lucas.zier@ucsf.edu.

Keywords

Aged Artificial Intelligence Electronic Health Records Female Humans Interrupted Time Series Analysis Male Middle Aged Patient Readmission Retrospective Studies Safety-net Providers

External Resources

View on PubMed Access via DOI PubMed (40053406)

Reducing readmissions in the safety net through AI and automation.

Abstract

Authors

Keywords

External Resources

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