Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and practice.

Related Keywords

United States , Michigan , Trinidad And Tobago , Ann Arbor , San Francisco , California , Delaware , Alaska , Trinidad , American , Thomask Sloan Kettering , , National Institutes Of Health , Memorial Sloan Kettering Cancer Center , Google , Popul Health , Health Aff Millwood , Drug Administration , College Of Healthcare Information Management Executives , Division Of Health , Health Affairs Forefront , Health Serv Res , Amerispeak Panel , University Of Minnesota School Public Health , National Opinion Research Center , University Of Michigan Institutional Review Board , Department Of Learning Health Sciences , Agency For Healthcare Research , University Of California , Paige Ai Inc , Baltimore Community Health Consortium , Department Of Medicine , Us Census Bureau Current Population , Vp Research , Division Of Clinical Informatics , Ascension Health , Dyero Memorial Sloan Kettering Cancer Center , Century Cures Act , African American , Michigan Institutional Review , Hispanic Asian , Bureau Current Population Survey , Does Public Comfort Differ Between Clinical , Administrative Predictive , What Are , Comfort With Clinical , Native American , Alaska Native , Health Policy , Minnesota School , Public Health , Clinical Informatics , Digital Transformation , Learning Health Sciences , Michigan Medicine , National Institutes , Paige Nong , Healthcare Information Management , Ann Am Thorac , Univ Law , Healthcare Research , Accessed November , Sloan Kettering Cancer Center , Soc Sci , Baltimore Community Health , Gen Intern , Patient , Prediction , Technology ,