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Smulyan H. Am J Med. 2019;132:153-160.
Smulyan H.The computerized ECG: friend and foe. Am J Med. 2019; 132: 153-160
Misinterpretations of critical tests can lead to diagnostic delays and patient harm. This review suggests combining computerized and human analysis of electrocardiogram results to enhance test interpretation accuracy and effectiveness.
Atlantic Health Quality and Patient Safety Learning Exchange.
Canadian Patient Safety Institute. October 8–9, 2019; Sheraton Hotel Newfoundland, St. John's, NL.
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.
Governing the safety of artificial intelligence in healthcare.
Macrae C. BMJ Qual Saf. 2019;28:495-498.
Accuracy of a popular online symptom checker for ophthalmic diagnoses.
Shen C, Nguyen M, Gregor A, Isaza G, Beattie A. JAMA Ophthalmol. 2019 Apr 11; [Epub ahead of print].
Machine learning in medicine.
Rajkomar A, Dean J, Kohane I. N Engl J Med. 2019;380:1347-1358.
Consumer-directed technologies to improve medication management and safety.
Andrade AQ, Roughead EE. Med J Aust. 2019;210(suppl 6):S24-S27.
Improving standardization of paging communication using quality improvement methodology.
Weigert RM, Schmitz AH, Soung PJ, Porada K, Weisgerber MC. Pediatrics. 2019;143:e20181362.
The wicked problem of patient misidentification: how could the technological revolution help address patient safety?
Ferguson C, Hickman L, Macbean C, Jackson D. J Clin Nurs. 2019 Mar 13; [Epub ahead of print].
Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.
Topol E. New York, NY: Basic Books; 2019. ISBN: 978-1541644632.
Error and Uncertainty in Diagnostic Radiology.
Bruno MA. New York, NY: Oxford University Press; 2019. ISBN: 978-0190665395.
Evaluating the effect of data standardization and validation on patient matching accuracy.
Grannis SJ, Xu H, Vest JR, et al. J Am Med Inform Assoc. 2019;26:447-456.
Usability and feasibility of consumer-facing technology to reduce unsafe medication use by older adults.
Holden RJ, Campbell NL, Abebe E, et al; Brain Health Patient Safety Laboratory. Res Social Adm Pharm. 2019 Feb 26; [Epub ahead of print].
Assessing the use of Google Translate for Spanish and Chinese translations of emergency department discharge instructions.
Khoong EC, Steinbrook E, Brown C, Fernandez A. JAMA Intern Med. 2019;179:580-582.
Improving Usability, Safety and Patient Outcomes With Health Information Technology.
Lau F, Bartle-Clar JA, Bliss G, et al, eds. Stud Health Technol Inform. 2019;257:1-539. ISBN: 9781614999508.
The impact of mobile technology on teamwork and communication in hospitals: a systematic review.
Martin G, Khajuria A, Arora S, King D, Ashrafian H, Darzi A. J Am Med Inform Assoc. 2019;26:339-355.
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.
Solving alarm fatigue with smartphone technology.
Short K, Chung YJ Jr. Nursing. 2019;49:52-57.
Usability testing of a mobile app to report medication errors anonymously: mixed-methods approach.
George D, Hassali MA, Hss AS. JMIR Hum Factors. 2018;5:e12232.
Transfusion safety: the nature and outcomes of errors in patient registration.
Cohen R, Ning S, Yan MTS, Callum J. Transfus Med Rev. 2018 Dec 6; [Epub ahead of print].
Prevention of perioperative medication errors.
Nanji K. UpToDate. January 4, 2019.
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.
The impact of technology on safe medicines use and pharmacy practice in the US.
Schneider PJ. Front Pharmacol. 2018;9:1361.
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.
Health apps and health policy: what is needed?
Bates DW, Landman A, Levine DM. JAMA. 2018;320:1975-1976.
System-related and cognitive errors in laboratory medicine.
Plebani M. Diagnosis (Berl). 2018;5:191-196.
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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