AHRQ Patient Safety Network

The Collection > Electronic Health Records

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Safety Target

•Device-related Complications (1)

•Diagnostic Errors (15)

•Identification Errors (9)

•Discontinuities, Gaps, and Hand-Off Problems (47)

•Fatigue and Sleep Deprivation (1)

•Medication Safety (71)

•Medical Complications (9)

•Nonsurgical Procedural Complications (2)

•Surgical Complications (6)

•Psychological and Social Complications (1)

Origin/Sponsor

•Asia (1)

•Australia and New Zealand (2)

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•North America (184)

Resource Types

•Book/Report (2)

•Journal Article (160)

•Legislation/Regulation (3)

•Meeting/Conference (2)

•Newspaper/Magazine Article (29)

•Special or Theme Issue (3)

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•Grant (1)

Error Types

•Epidemiology of Errors and Adverse Events (39)

•Active Errors (24)

•Latent Errors (19)

Approach to Improving Safety
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Electronic Health Records

Clinical Areas

•Allied Health Services (1)

•Medicine (123)

•Nursing (10)

•Pharmacy (28)

Target Audience

•Health Care Providers (130)

•Health Care Executives and Administrators (154)

•Non-Health Care Professionals (141)

•Patients (17)

Setting of Care

•Hospitals (100)

•Residential Facilities (3)

•Ambulatory Care (48)

•Outpatient Surgery (3)

1 - 20 of 202

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STUDY

Medication errors with electronic prescribing (eP): two views of the same picture.

Savage I, Cornford T, Klecun E, Barber N, Clifford S, Franklin BD. BMC Health Serv Res. 2010;10:135.

STUDY

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.

STUDY

Pharmacovigilance using clinical notes.

LePendu P, Iyer SV, Bauer-Mehren A, et al. Clin Pharmacol Ther. 2013;93:547-555.

STUDY

Improving documentation of a beta-blocker quality measure through an anesthesia information management system and real-time notification of documentation errors.

Nair BG, Peterson GN, Newman S, Wu W, Kolios-Morris V, Schwid HA. Jt Comm J Qual Patient Saf. 2012:38;283-288.

STUDY

Electronic health records and adverse drug events after patient transfer.

Boockvar KS, Livote EE, Goldstein N, Nebeker JR, Siu A, Fried T. Qual Saf Health Care. 2010;19:e16.

STUDY

Utilising improvement science methods to optimise medication reconciliation.

White CM, Schoettker PJ, Conway PH, et al. BMJ Qual Saf. 2011;20:372-380.

STUDY

The incidence and cost of unexpected hospital use after scheduled outpatient endoscopy.

Leffler DA, Kheraj R, Garud S, et al. Arch Intern Med. 2010;170:1752-1757.

STUDY

Effect of a weight-based prescribing method within an electronic health record on prescribing errors.

Ginzburg R, Barr WB, Harris M, Munshi S. Am J Health Syst Pharm. 2009;66:2037-2041.

STUDY

Sources and types of discrepancies between electronic medical records and actual outpatient medication use.

Orrico KB. J Manag Care Pharm. 2008;14:626-631.

STUDY

Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study.

Embi PJ, Leonard AC. J Am Med Inform Assoc. 2012;19:e145-e148.

STUDY

Applying trigger tools to detect adverse events associated with outpatient surgery.

Rosen AK, Mull HJ, Kaafarani H, et al. J Patient Saf. 2011;7:45-59.

STUDY

Minimizing electronic health record patient–note mismatches.

Wilcox AB, Chen YH, Hripcsak G. J Am Med Inform Assoc. 2011;18:511-514.

STUDY

Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safety.

Holden RJ. Cogn Tech Work. 2011;13:11-29.

STUDY

A long-term follow-up evaluation of electronic health record prescribing safety.

Abramson EL, Malhotra S, Osorio SN, et al. J Am Med Inform Assoc. 2013;20:e52-e58.

COMMENTARY

Safe electronic health record use requires a comprehensive monitoring and evaluation framework.

Sittig DF, Classen DC. JAMA. 2010;303:450-451.

STUDY

Effects of an online personal health record on medication accuracy and safety: a cluster-randomized trial.

Schnipper JL, Gandhi TK, Wald JS, et al. J Am Med Inform Assoc. 2012;19:728-734.

STUDY

Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study.

March CA, Steiger D, Scholl G, Mohan V, Hersh WR, Gold JA. BMJ Open. 2013;3:e002549.

STUDY

Electronic health record adoption by children's hospitals in the United States.

Nakamura MM, Ferris TG, DesRoches CM, Jha AK. Arch Pediatr Adolesc Med. 2010;164:1145-1151.

STUDY

The impact of prescribing safety alerts for elderly persons in an electronic medical record: an interrupted time series evaluation.

Smith DH, Perrin N, Feldstein A, et al. Arch Intern Med. 2006;166:1098-1104.

COMMENTARY

Computer visualisation of patient safety in primary care: a systems approach adapted from management science and engineering.

Singh R, Singh A, Fox C, Seldan Taylor J, Rosenthal T, Singh G. Inform Prim Care. 2005;13:135-144.

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