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Schiff GD. BMJ Qual Saf. 2012;21:89-92.
Schiff GD.Finding and fixing diagnosis errors: can triggers help?. BMJ Qual Saf. 2012; 21: 89-92
This editorial discusses the potential of using electronic screening tools, known as triggers, to detect and prevent diagnostic errors.
Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.
Segal G, Segev A, Brom A, Lifshitz Y, Wasserstrum Y, Zimlichman E. J Am Med Inform Assoc. 2019 Aug 7; [Epub ahead of print].
Emerging Safety Issues in Artificial Intelligence
Robert Challen, MA, MBBS
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;2:40-48.
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.
Application of electronic trigger tools to identify targets for improving diagnostic safety.
Murphy DR, Meyer AN, Sittig DF, Meeks DW, Thomas EJ, Singh H. BMJ Qual Saf. 2019;28:151-159.
Framing the challenges of artificial intelligence in medicine.
Yu KH, Kohane IS. BMJ Qual Saf. 2019;28:238-241.
Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis.
Millenson ML, Baldwin JL, Zipperer L, Singh H. Diagnosis (Berl). 2018;5:95-106.
How health care changes when algorithms start making diagnoses.
Burt A, Volchenboum S. Harv Bus Rev. May 8, 2018.
Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis.
Meyer AND, Thompson PJ, Khanna A, et al. J Am Med Inform Assoc. 2018;25:841–847.
Bedside computer vision—moving artificial intelligence from driver assistance to patient safety.
Yeung S, Downing NL, Fei-Fei L, Milstein A. N Engl J Med. 2018;378:1271-1273.
Symptom–Disease Pair Analysis of Diagnostic Error (SPADE): a conceptual framework and methodological approach for unearthing misdiagnosis-related harms using big data.
Liberman AL, Newman-Toker DE. BMJ Qual Saf. 2018;27:557-566.
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.
Ehteshami Bejnordi B, Veta M, Johannes van Diest P, et al; CAMELYON16 Consortium. JAMA. 2017;318:2199-2210.
Effectiveness of a clinical knowledge support system for reducing diagnostic errors in outpatient care in Japan: a retrospective study.
Shimizu T, Nemoto T, Tokudab Y. Int J Med Inform. 2018;109:1-4.
The impact of a diagnostic decision support system on the consultation: perceptions of GPs and patients.
Porat T, Delaney B, Kostopoulou O. BMC Med Inform Decis Mak. 2017;17:79.
Identifying and analyzing diagnostic paths: a new approach for studying diagnostic practices.
Rao G, Epner P, Bauer V, Solomonides A, Newman-Toker DE. Diagnosis. 2017;4:67-72.
Diagnostic accuracy of GPs when using an early-intervention decision support system: a high-fidelity simulation.
Kostopoulou O, Porat T, Corrigan D, Mahmoud S, Delaney BC. Br J Gen Pract. 2017;67:e201-e208.
Can computers help doctors reduce diagnostic errors?
Shryock T. Med Econ. December 5, 2016.
Comparison of physician and computer diagnostic accuracy.
Semigran HL, Levine DM, Nundy S, Mehrotra A. JAMA Intern Med. 2016;176:1860-1861.
Future directions for diagnostic decision support.
Carr S. ImproveDx. April 2016;3:1-3.
The effectiveness of electronic differential diagnoses (DDX) generators: a systematic review and meta-analysis.
Riches N, Panagioti M, Alam R, et al. PLoS One. 2016;11:e0148991.
Clinical decision support for early recognition of sepsis.
Amland RC, Hahn-Cover KE. Am J Med Qual. 2016;31:103-110.
Digitizing diagnosis: a review of mobile applications in the diagnostic process.
Jutel A, Lupton D. Diagnosis. 2015;2:89-96.
Clinical criteria to screen for inpatient diagnostic errors: a scoping review.
Shenvi EC, El-Kareh R. Diagnosis. 2014;2:3-19.
Diagnostic Error in Medicine.
Singh H, ed. BMJ Qual Saf. 2013;22(suppl 2):ii1-ii72.
Watson: Beyond Jeopardy!
Ferrucci D, Levas A, Bagchi S, Gondek D, Mueller ET. Artif Intell. 2013;199:93-105.
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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