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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.
Can computers help doctors reduce diagnostic errors?
Shryock T. Med Econ. December 5, 2016.
Comparison of physician and computer diagnostic accuracy.
Semigran HL, Levine DM, Nundy S, Mehrotra A. JAMA Intern Med. 2016;176:1860-1861.
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.
Clinical criteria to screen for inpatient diagnostic errors: a scoping review.
Shenvi EC, El-Kareh R. Diagnosis. 2014;2:3-19.
Diagnostic Error in Medicine.
Singh H, ed. BMJ Qual Saf. 2013;22(suppl 2):ii1-ii72.
The robot will see you now.
Cohn J. The Atlantic. March 2013;311:59–67.
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.
An empirical model to estimate the potential impact of medication safety alerts on patient safety, health care utilization, and cost in ambulatory care.
Weingart SN, Simchowitz B, Padolsky H, et al. Arch Intern Med. 2009;169;1465-1473.
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.
Overrides of medication alerts in ambulatory care.
Isaac T, Weissman JS, Davis RB, et al. Arch Intern Med. 2009;169:305-311.
Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care.
Lo HG, Matheny ME, Seger DL, Bates DW, Gandhi TK. J Am Med Inform Assoc. 2009;16:66-71.
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.
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 Jan 30; [Epub ahead of print].
Screening for medication errors using an outlier detection system.
Schiff GD, Volk LA, Volodarskaya M, et al. J Am Med Inform Assoc. 2017 Jan 19; [Epub ahead of print].
Assessing frequency and risk of weight entry errors in pediatrics.
Hagedorn PA, Kirkendall ES, Kouril M, et al. JAMA Pediatr. 2017 Feb 6; [Epub ahead of print].
Clinical decision support for drug related events: moving towards better prevention.
Kane-Gill SL, Achanta A, Kellum JA, Handler SM. World J Crit Care Med. 2016;5:204-211.
Estimating deaths due to medical error: the ongoing controversy and why it matters.
Shojania KG, Dixon-Woods M. BMJ Qual Saf. 2016 Oct 12; [Epub ahead of print].
Effects of health information technology on patient outcomes: a systematic review.
Brenner SK, Kaushal R, Grinspan Z, et al. J Am Med Inform Assoc. 2016;23:1016-1036.
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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