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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].
Impact of errors in paper-based and computerized diabetes management with decision support for hospitalized patients with type 2 diabetes. A post-hoc analysis of a before and after study.
Donsa K, Beck P, Höll B, et al. Int J Med Inform. 2016;90:58-67.
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].
A cross-sectional observational study of high override rates of drug allergy alerts in inpatient and outpatient settings, and opportunities for improvement.
Slight SP, Beeler PE, Seger DL, et al. BMJ Qual Saf. 2016 Mar 18; [Epub ahead of print].
Can medical record reviewers reliably identify errors and adverse events in the ED?
Klasco RS, Wolfe RE, Lee T, et al. Am J Emerg Med. 2016;34:1043-1048.
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. 2016;23:601-608.
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.
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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