Identifying and classifying diagnostic errors in acute care across hospitals: Early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study-Reference-Cited by-同舟云学术

Identifying and classifying diagnostic errors in acute care across hospitals: Early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study

Published:2023-05-21 Issue:2 Volume:19 Page:140-145
ISSN:1553-5592
Container-title:Journal of Hospital Medicine
language:en
Short-container-title:Journal of Hospital Medicine

Author:

Dalal Anuj K.¹^ORCID,Schnipper Jeffrey L.¹^ORCID,Raffel Katie²^ORCID,Ranji Sumant³,Lee Tiffany,Auerbach Andrew³^ORCID

Affiliation:

1. Hospital Medicine Unit, Division of General Internal Medicine and Primary Care Brigham and Women's Hospital Boston Massachusetts USA

2. Division of Hospital Medicine University of Colorado Anschutz Medical Campus Denver Colorado USA

3. Division of Hospital Medicine University of California San Francisco San Francisco California USA

Funder

Agency for Healthcare Research and Quality

Publisher

Wiley

Subject

Assessment and Diagnosis,Care Planning,Health Policy,Fundamentals and skills,General Medicine,Leadership and Management

Reference21 articles.

1. Improving Diagnosis in Health Care — The Next Imperative for Patient Safety

2. Improving Diagnosis in Health Care: Highlights of a Report From the National Academies of Sciences, Engineering, and Medicine

3. Editorial: Helping Health Care Organizations to Define Diagnostic Errors as Missed Opportunities in Diagnosis

4. The global burden of diagnostic errors in primary care

5. The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations

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