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Nishikawa RM, Schmidt RA, Linver MN, Edwards AV, Papaioannou J, Stull MA. AJR Am J Roentgenol. 2012;198:708-716.
Nishikawa RM ; Schmidt RA ; Linver MN; et al. Clinically missed cancer: how effectively can radiologists use computer-aided detection?. AJR Am J Roentgenol. 2012; 198: 708-716
A computerized clinical decision support system helped radiologists reduce diagnostic errors in mammogram interpretation. However, radiologists ignored more than two-thirds of the prompts provided by the system.
How health care changes when algorithms start making diagnoses.
Burt A, Volchenboum S. Harv Bus Rev. May 8, 2018.
Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.
Varghese J, Kleine M, Gessner SI, Sandmann S, Dugas M. J Am Med Inform Assoc. 2018;25:593-602.
Unintended adverse consequences of a clinical decision support system: two cases.
Stone EG. J Am Med Inform Assoc. 2018;25:564-567.
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.
Balancing innovation and safety when integrating digital tools into health care.
Auerbach AD, Neinstein A, Khanna R. Ann Intern Med. 2018;168:733-734.
Impact of a commercial order entry system on prescribing errors amenable to computerised decision support in the hospital setting: a prospective pre–post study.
Pontefract SK, Hodson J, Slee A, et al. BMJ Qual Saf. 2018 Mar 23; [Epub ahead of print].
Improving medication-related clinical decision support.
Tolley CL, Slight SP, Husband AK, Watson N, Bates DW. Am J Health Syst Pharm. 2018;75:239-246.
Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit.
Wong A, Amato MG, Seger DL, et al. BMJ Qual Saf. 2018 Feb 9; [Epub ahead of print].
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.
Clinical decision support alert malfunctions: analysis and empirically derived taxonomy.
Wright A, Ai A, Ash J, et al. J Am Med Inform Assoc. 2018;25:496-506.
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.
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation.
Liberati EG, Ruggiero F, Galuppo L, et al. Implement Sci. 2017;12:113.
Sophisticated digital aids could help determine what ails you.
Maron DF. Sci Am. July 21, 2017.
Clinical alerts to decrease high-risk medication use in older adults.
Lord-Adem W, Brandt NJ. J Gerontol Nurs. 2017;43:7-12.
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.
Deep learning is a black box, but health care won't mind.
Brouillette M. MIT Technol Rev. April 27, 2017.
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.
Identifying hospitalized patients at risk for harm: a comparison of nurse perceptions vs. electronic risk assessment tool scores.
Stafos A, Stark S, Barbay K, et al. Am J Nurs. 2017;117:26-31.
A learning health care system using computer-aided diagnosis.
Cahan A, Cimino JJ. J Med Internet Res. 2017;19:e54.
Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.
Prgomet M, Li L, Niazkhani Z, Georgiou A, Westbrook JI. J Am Med Inform Assoc. 2017;24:413-422.
Evaluation of medication-related clinical decision support alert overrides in the intensive care unit.
Wong A, Amato MG, Seger DL, et al. J Crit Care. 2017;39:156-161.
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.
Clinical reasoning in the context of active decision support during medication prescribing.
Horsky J, Aarts J, Verheul L, Seger DL, van der Sijs H, Bates DW. Int J Med Inform. 2017;97:1-11.
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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