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Kliegman RM, Bordini BJ, Basel D, Nocton JJ. Pediatr Clin North Am. 2017;64:1-15.
Kliegman RM ; Bordini BJ ; Basel D; et al. How doctors think: common diagnostic errors in clinical judgment—lessons from an undiagnosed and rare disease program. Pediatr Clin North Am. 2017; 64: 1-15
This review discusses the diagnostic challenges rare diseases present to clinicians. The authors outline strategies to help clinicians evaluate patients with undiagnosed or rare diseases and to address cognitive biases and flawed decision-making.
Australasian Diagnostic Error in Medicine Conference.
Society to Improve Diagnosis in Medicine. April 28–30, 2019. Grand Hyatt Melbourne, Melbourne, VIC.
Team-based Approaches to the Diagnostic Process.
Washington Patient Safety Coalition. WPSC Lunchtime Webinar Series. April 24, 2019; 2:00 PM (Eastern).
Machine learning in medicine.
Rajkomar A, Dean J, Kohane I. N Engl J Med. 2019;380:1347-1358.
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].
Diagnostic Excellence Summit 2019.
Armstrong Institute Center for Diagnostic Excellence. March 7, 2019; Johns Hopkins School of Medicine, Baltimore, MD.
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.
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.
Fatal flaws in clinical decision making.
Davis SS, Babidge WJ, McCulloch GAJ, Maddern GJ. ANZ J Surg. 2018 Nov 29; [Epub ahead of print].
Case-based simulation empowering pediatric residents to communicate about diagnostic uncertainty.
Olson ME, Borman-Shoap E, Mathias K, Barnes TL, Olson APJ. Diagnosis (Berl). 2018;5:243-248.
Teaching about diagnostic errors through virtual patient cases: a pilot exploration.
Geha R, Trowbridge RL, Dhaliwal G, Olson APJ. Diagnosis (Berl). 2018;5:223-227.
Two decades since To Err Is Human: an assessment of progress and emerging priorities in patient safety.
Bates DW, Singh H. Health Aff (Milwood). 2018;37:1736-1743.
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Giardina TD, Haskell H, Menon S, et al. Health Aff (Milwood). 2018;37:1821-1827.
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.
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