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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.
Diagnostic Error in Medicine.
Singh H, ed. BMJ Qual Saf. 2013;22(suppl 2):ii1-ii72.
Electronic health record-based surveillance of diagnostic errors in primary care.
Singh H, Giardina TD, Forjuoh SN, et al. BMJ Qual Saf. 2012;22:93-100.
Automated identification of postoperative complications within an electronic medical record using natural language processing.
Murff HJ, FitzHenry F, Matheny ME, et al. JAMA. 2011;306:848-855.
A framework for evaluating the appropriateness of clinical decision support alerts and responses.
McCoy AB, Waitman LR, Lewis JB, et al. J Am Med Inform Assoc. 2012;19:346-352.
Potential safety gaps in order entry and automated drug alerts: a nationwide survey of VA physician self-reported practices with computerized order entry.
Spina JR, Glassman PA, Simon B, et al. Med Care. 2011;49:904-910.
Notification of abnormal lab test results in an electronic medical record: do any safety concerns remain?
Singh H, Thomas EJ, Sittig DF, et al. Am J Med. 2010;123:238-244.
Computerized decision support to reduce potentially inappropriate prescribing to older emergency department patients: a randomized, controlled trial.
Terrell KM, Perkins AJ, Dexter PR, Hui SL, Callahan CM, Miller DK. J Am Geriatr Soc. 2009;57:1388-1394.
What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?
Schedlbauer A, Prasad V, Mulvaney C, et al. J Am Med Inform Assoc. 2009;16:531-538.
Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs' computerized patient record system.
Lin C-P, Payne TH, Nichol WP, et al. J Am Med Inform Assoc. 2008;15:620-626.
Reduction in chemotherapy order errors with computerised physician order entry and clinical decision support systems.
Aziz MT, Ur-Rehman T, Qureshi S, Bukhari NI. HIM J. 2015;44:13-22.
'Trust but verify'—five approaches to ensure safe medical apps.
Wicks P, Chiauzzi E. BMC Med. 2015;13:205.
Electronic health record-based triggers to detect adverse events after outpatient orthopaedic surgery.
Menendez ME, Janssen SJ, Ring D. BMJ Qual Saf. 2015 Sep 10; [Epub ahead of print].
In Conversation With… Vineet Arora, MD, MAPP
The effect of provider characteristics on the responses to medication-related decision support alerts.
Cho I, Slight SP, Nanji KC, et al. Int J Med Inform. 2015;84:630-639.
Assessing the potential adoption and usefulness of concurrent, action-oriented, electronic adverse drug event triggers designed for the outpatient setting.
Mull HJ, Rosen AK, Shimada SL, et al. EGEMS (Wash DC). 2015;3:1116.
Recommendations to improve the usability of drug–drug interaction clinical decision support alerts.
Payne TH, Hines LE, Chan RC, et al. J Am Med Inform Assoc. 2015;22:1243-1250.
Evaluation of an automated surveillance system using trigger alerts to prevent adverse drug events in the intensive care unit and general ward.
DiPoto JP, Buckley MS, Kane-Gill SL. Drug Saf. 2015;38:311-317.
Monitoring the harm associated with use of anticoagulants in pediatric populations through trigger-based automated adverse-event detection.
Patregnani JT, Spaeder MC, Lemon V, Diab Y, Klugman D, Stockwell DC. Jt Comm J Qual Patient Saf. 2015;41:108-114.
Optimization of drug–drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard.
Simpao AF, Ahumada LM, Desai BR, et al. J Am Med Inform Assoc. 2015;22:361-369.
Impact of introducing an electronic physiological surveillance system on hospital mortality.
Schmidt PE, Meredith P, Prytherch DR, et al. BMJ Qual Saf. 2015;24:10-20.
Adverse events in healthcare: learning from mistakes.
Rafter N, Hickey A, Condell S, et al. QJM. 2015;108:273-277.
Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals.
Cresswell KM, Bates DW, Williams R, et al. J Am Med Inform Assoc. 2014;21:e194-e202.
Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system.
Woods AD, Mulherin DP, Flynn AJ, Stevenson JG, Zimmerman CR, Chaffee BW. J Am Med Inform Assoc. 2014;21:569-573.
Overrides of medication-related clinical decision support alerts in outpatients.
Nanji KC, Slight SP, Seger DL, et al. J Am Med Inform Assoc. 2014;21:487-491.
Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system.
Dixon-Woods M, Redwood S, Leslie M, Minion J, Martin GP, Coleman JJ. Milbank Q. 2013;91:424-454.
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