U.S. Department of Health and Human Services
Agency for Healthcare Research and Quality: Advancing Excellence in Health Care
Sign up for a Free Account
Rockville, MD; Agency for Healthcare Research and Quality: September 28, 2016.
Research is increasingly focusing on diagnostic errors and strategies to reduce them. This conference explored the science behind diagnosis and discuss the research, tactics, and tools needed to enhance diagnostic performance.
Virtual patients designed for training against medical error: exploring the impact of decision-making on learner motivation.
Woodham LA, Round J, Stenfors T, et al. PLoS One. 2019;14:e0215597.
Inpatient notes: just what the doctor ordered—checklists to improve diagnosis.
Gupta A, Graber ML. Ann Intern Med. 2019;170:HO2-HO3.
Machine learning in medicine.
Rajkomar A, Dean J, Kohane I. N Engl J Med. 2019;380:1347-1358.
Deny, Dismiss, Dehumanise: What Happened When I Went to Hospital.
Cullen A. Uitgeverij van Brug: The Hague, The Netherlands; 2019. ISBN: 9789065232236.
Systematic error and cognitive bias in obstetric ultrasound.
Sotiriadis A, Odibo AO. Ultrasound Obstet Gynecol. 2019;53:431-435.
Adversarial attacks on medical machine learning.
Finlayson SG, Bowers JD, Ito J, Zittrain JL, Beam AL, Kohane IS. Science. 2019;363:1287-1289.
AHRQ Health Services Research Project: Partners Enabling Diagnostic Excellence (R01).
US Department of Health and Human Services. Program Announcement No. RFA-HS-19-003.
Teaching novice clinicians how to reduce diagnostic waste and errors by applying the Toyota Production System.
Radhakrishnan NS, Singh H, Southwick FS. Diagnosis (Berl). 2019 Mar 16; [Epub ahead of print].
GMS J Med Educ. 2019;36:Doc11-Doc22.
Laney's story: the problem of delayed diagnosis of pediatric stroke.
Fitzsimons BT, Fitzsimons LL, Sun LR. Pediatrics. 2019;143:e20183458.
Reclaiming the systems approach to paediatric safety.
Cheung R, Roland D, Lachman P. Arch Dis Child. 2019 Feb 23; [Epub ahead of print].
The "hemolyzed" physical examination—situational challenges to accurate bedside diagnosis.
Sargsyan Z. JAMA Intern Med. 2019;179:465-466.
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.
Liang H, Tsui BY, Ni H, et al. Nat Med. 2019;25:433-438.
An IDEA: safety training to improve critical thinking by individuals and teams.
Browne AM, Deutsch ES, Corwin K, Davis DH, Teets JM, Apkon M. Am J Med Qual. 2019 Feb 9; [Epub ahead of print].
The path to diagnostic excellence includes feedback to calibrate how clinicians think.
Meyer AND, Singh H. JAMA. 2019;321:737-738.
Are more experienced clinicians better able to tolerate uncertainty and manage risks? A vignette study of doctors in three NHS emergency departments in England.
Lawton R, Robinson O, Harrison R, Mason S, Conner M, Wilson B. BMJ Qual Saf. 2019;28:382-388.
The design and conduct of Project RedDE: a cluster-randomized trial to reduce diagnostic errors in pediatric primary care.
Bundy DG, Singh H, Stein REK, et al. Clin Trials. 2019;16:154-164.
Incidence of multiple sclerosis misdiagnosis in referrals to two academic centers.
Kaisey M, Solomon AJ, Luu M, Giesser BS, Sicotte NL. Mult Scler Relat Disord. 2019;30:51-56.
Testing and improving the acceptability of a web-based platform for collective intelligence to improve diagnostic accuracy in primary care clinics.
Fontil V, Radcliffe K, Lyson HC, et al. JAMIA Open. 2019 Feb 1; [Epub ahead of print].
Artificial intelligence, bias and clinical safety.
Challen R, Denny J, Pitt M, Gompels L, Edwards T, Tsaneva-Atanasova K. BMJ Qual Saf. 2019;28:231-237.
Assessment of a simulated case-based measurement of physician diagnostic performance.
Chatterjee S, Desai S, Manesh R, Junfeng S, Nundy S, Wright SM. JAMA Netw Open. 2019;2:e187006.
A cognitive forcing tool to mitigate cognitive bias—a randomised control trial.
O'Sullivan ED, Schofield SJ. BMC Med Educ. 2019;19:12.
Mortality and morbidity rounds (MMR) in pathology: relative contribution of cognitive bias vs. systems failures to diagnostic error.
Eichbaum Q, Adkins B, Craig-Owens L, et al. Diagnosis (Berl). 2018 Dec 4; [Epub ahead of print].
Diagnostic decision-making in the emergency department.
Medford-Davis LN, Singh H, Mahajan P. Pediatr Clin North Am. 2018;65:1097-1105.
PSNET: Patient Safety Network
PSNet is produced for the Agency for Healthcare Research and Quality by a team of editors at the University of California, San Francisco with guidance from a prominent Technical Expert/Advisory Panel. The AHRQ PSNet site was designed and implemented by Silverchair.
Agency for Healthcare Research and Quality
5600 Fishers Lane
Rockville, MD 20857
Telephone: (301) 427-1364