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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.
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.
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.
Safety risks associated with the lack of integration and interfacing of hospital health information technologies: a qualitative study of hospital electronic prescribing systems in England.
Cresswell KM, Mozaffar H, Lee L, Williams R, Sheikh A. BMJ Qual Saf. 2016 Apr 1; [Epub ahead of print].
Analysis of clinical decision support system malfunctions: a case series and survey.
Wright A, Hickman TT, McEvoy D, et al. J Am Med Inform Assoc. 2016 Mar 28; [Epub ahead of print].
The frequency of inappropriate nonformulary medication alert overrides in the inpatient setting.
Her QL, Amato MG, Seger DL, et al. J Am Med Inform Assoc. 2016 Mar 21; [Epub ahead of print].
Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience.
Topaz M, Seger DL, Slight SP, et al. J Am Med Inform Assoc. 2015 Nov 17; [Epub ahead of print].
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. 2016;25:25-30.
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.
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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