AHRQ Patient Safety Network

The Collection > Computerized Adverse Event Detection

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Safety Target

•Device-related Complications (4)

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•Identification Errors (2)

•Discontinuities, Gaps, and Hand-Off Problems (12)

•Fatigue and Sleep Deprivation (1)

•Medication Safety (103)

•Medical Complications (21)

•Nonsurgical Procedural Complications (2)

•Surgical Complications (10)

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•Book/Report (2)

•Journal Article (114)

•Legislation/Regulation (1)

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•Newspaper/Magazine Article (24)

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•Special or Theme Issue (1)

•Tools/Toolkit (1)

Error Types

•Epidemiology of Errors and Adverse Events (42)

•Active Errors (35)

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Approach to Improving Safety
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Computerized Adverse Event Detection

Clinical Areas

•Medicine (103)

•Nursing (8)

•Pharmacy (46)

Target Audience

•Health Care Providers (95)

•Health Care Executives and Administrators (106)

•Non-Health Care Professionals (89)

•Patients (6)

Setting of Care

•Hospitals (93)

•Residential Facilities (2)

•Ambulatory Care (22)

•Outpatient Surgery (3)

1 - 20 of 145

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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

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.

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

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

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

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

Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms.

Hume AL, Quilliam BJ, Goldman R, Eaton C, Lapane KL. BMJ Qual Saf. 2011;20:875-884.

STUDY

The preliminary development and testing of a global trigger tool to detect error and patient harm in primary-care records.

de Wet C, Bowie P. Postgrad Med J. 2009;85:176-180.

COMMENTARY

Implementing online medication reconciliation at a large academic medical center.

Bails D, Clayton K, Roy K, Cantor MN. Jt Comm J Qual Patient Saf. 2008;34:499-508.

STUDY

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.

NEWSPAPER/MAGAZINE ARTICLE

Shakespeare was on target—don't be a borrower or lender.

ISMP Medication Safety Alert! Acute Care Edition. November 19, 2009;14:1-3.

REVIEW

Medication safety in acute care in Australia: where are we now? Part 2: a review of strategies and activities for improving medication safety 2002-2008.

Semple SJ, Roughead EE. Aust New Zealand Health Policy. 2009;6:24.

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.

COMMENTARY

On the Other Hand

Henneman EA. AHRQ WebM&M [serial online]. May 2007.

STUDY

Active surveillance using electronic triggers to detect adverse events in hospitalized patients.

Szekendi MK, Sullivan C, Bobb A, et al. Qual Saf Health Care. 2006;15:184-190.

STUDY

'Global Trigger Tool' shows that adverse events in hospitals may be ten times greater than previously measured.

Classen DC, Resar R, Griffin F, et al. Health Aff (Millwood). 2011;30:581-589.

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

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.

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