TY - JOUR
T1 - Clinical reasoning and diagnostic error
T2 - A call to merge two worlds to improve patient care
AU - Durning, Steven J.
AU - Trowbridge, Robert L.
AU - Schuwirth, Lambert
N1 - Publisher Copyright:
© by the Association of American Medical Colleges.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Numerous and substantial challenges exist in the provision of safe, cost-effective, and efficient health care. The prevalence and consequences of diagnostic error, one of these challenges, have been established by the literature; however, these errors persist, and the pace of improvement has been slow. One potential reason for the lack of needed progress is that addressing delayed and wrong diagnoses will require contributions from 2 currently distinct worlds: clinical reasoning and diagnostic error. In this Invited Commentary, the authors argue for merging the diagnostic error and clinical reasoning fields as the perspectives, frameworks, and methodologies of these 2 fields could be leveraged to yield a more aligned approach to understanding and subsequently to mitigating diagnostic error. The authors focus on the problem of diagnostic labeling (a categorization task where one has to choose the correct label or diagnosis). The authors elaborate on why this alignment could help guide health care improvement efforts, using the vexing problem of context specificity that leads to unwanted variance in health care as an example.
AB - Numerous and substantial challenges exist in the provision of safe, cost-effective, and efficient health care. The prevalence and consequences of diagnostic error, one of these challenges, have been established by the literature; however, these errors persist, and the pace of improvement has been slow. One potential reason for the lack of needed progress is that addressing delayed and wrong diagnoses will require contributions from 2 currently distinct worlds: clinical reasoning and diagnostic error. In this Invited Commentary, the authors argue for merging the diagnostic error and clinical reasoning fields as the perspectives, frameworks, and methodologies of these 2 fields could be leveraged to yield a more aligned approach to understanding and subsequently to mitigating diagnostic error. The authors focus on the problem of diagnostic labeling (a categorization task where one has to choose the correct label or diagnosis). The authors elaborate on why this alignment could help guide health care improvement efforts, using the vexing problem of context specificity that leads to unwanted variance in health care as an example.
UR - http://www.scopus.com/inward/record.url?scp=85084383721&partnerID=8YFLogxK
U2 - 10.1097/ACM.0000000000003041
DO - 10.1097/ACM.0000000000003041
M3 - Review article
C2 - 31625997
AN - SCOPUS:85084383721
SN - 1040-2446
VL - 95
SP - 1159
EP - 1161
JO - Academic Medicine
JF - Academic Medicine
IS - 8
ER -