AHRQ Patient Safety Network

The Collection > Computerized Adverse Event Detection

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Safety Target

•Device-related Complications (5)

•Diagnostic Errors (9)

•Identification Errors (1)

•Discontinuities, Gaps, and Hand-Off Problems (13)

•Fatigue and Sleep Deprivation (1)

•Medication Safety (110)

•Medical Complications (21)

•Nonsurgical Procedural Complications (2)

•Surgical Complications (11)

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•Psychological and Social Complications (1)

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•Asia (1)

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•Journal Article (124)

•Legislation/Regulation (1)

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•Newspaper/Magazine Article (26)

•Press Release/Announcement (1)

•Special or Theme Issue (1)

•Tools/Toolkit (1)

Error Types

•Epidemiology of Errors and Adverse Events (47)

•Active Errors (36)

•Latent Errors (14)

Approach to Improving Safety
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Computerized Adverse Event Detection

Clinical Areas

•Medicine (110)

•Nursing (8)

•Pharmacy (48)

Target Audience

•Health Care Providers (97)

•Health Care Executives and Administrators (115)

•Non-Health Care Professionals (98)

•Patients (6)

Setting of Care

•Hospitals (97)

•Residential Facilities (2)

•Ambulatory Care (22)

•Outpatient Surgery (3)

1 - 20 of 155

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STUDY

Assessing the value of electronic prescribing in ambulatory care: A focus group study.

Weingart SN, Massagli M, Cyrulik A, et al. Int J Med Inform. 2009;78:571-578.

STUDY

Using an electronic prescribing system to ensure accurate medication lists in a large multidisciplinary medical group.

Stock R, Scott J, Gurtel S. Jt Comm J Qual Patient Saf. 2009;35:271-279.

STUDY

Impact of implementing alerts about medication black-box warnings in electronic health records.

Yu DT, Seger DL, Lasser KE, et al. Pharmacoepidemiol Drug Saf. 2011;20:192-202.

STUDY

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.

STUDY

Preventing potentially inappropriate medication use in hospitalized older patients with a computerized provider order entry warning system.

Mattison MLP, Afonso KA, Ngo LH, Mukamal KJ. Arch Intern Med. 2010;170:1331-1336.

STUDY

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.

STUDY

Prescribers' interactions with medication alerts at the point of prescribing: a multi-method, in situ investigation of the human–computer interaction.

Russ AL, Zillich AJ, McManus MS, Doebbeling BN, Saleem JJ. Int J Med Inform. 2012;81:232-243.

STUDY

Experience with a trigger tool for identifying adverse drug events among older adults in ambulatory primary care.

Singh R, McLean-Plunckett EA, Kee R, et al. Qual Saf Health Care. 2009;18:199-204.

STUDY

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis.

Muething SE, Conway PH, Kloppenborg E, et al. Qual Saf Health Care. 2010;19:435-439.

STUDY

Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients.

Brenner S, Detz A, López A, Horton C, Sarkar U. BMJ Qual Saf. 2012;21:670-675.

STUDY

Critical drug–drug interactions for use in electronic health records systems with computerized physician order entry: review of leading approaches.

Classen DC, Phansalkar S, Bates DW. J Patient Saf. 2011;7:61-65.

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.

STUDY

A mixed method study of the merits of e-prescribing drug alerts in primary care.

Lapane KL, Waring ME, Schneider KL, Dubé C, Quilliam BJ. J Gen Intern Med. 2008;23:442-446.

NEWSPAPER/MAGAZINE ARTICLE

Medication errors occurring with the use of bar-code administration technology.

PA-PSRS Patient Saf Advis. December 2008;5:122-126.

REVIEW

Overriding of drug safety alerts in computerized physician order entry.

van der Sijs H, Aarts J, Vulto A, Berg M. J Am Med Inform Assoc. 2006;13:138-147.

STUDY

Outpatient adverse drug events identified by screening electronic health records.

Gandhi TK, Seger AC, Overhage JM, et al. J Patient Saf. 2010;6;91-96.

STUDY

A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care.

Tamblyn R, Huang A, Taylor L, et al. J Am Med Inform Assoc. 2008;15:430-438.

STUDY

Comparison of computerized surveillance and manual chart review for adverse events.

Tinoco A, Evans RS, Staes CJ, Lloyd JF, Rothschild JM, Haug PJ. J Am Med Inform Assoc. 2011;18:491-497.

NEWSPAPER/MAGAZINE ARTICLE

CPOE: it don't come easy.

Anderson HJ. Health Data Manag. January 1, 2009;17:18.

STUDY

Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool.

Leung AA, Keohane C, Lipsitz S, et al. J Am Med Inform Assoc. 2013 Apr 18; [Epub ahead of print].

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