AHRQ Patient Safety Network

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Safety Target

•Device-related Complications (181)

•Diagnostic Errors (201)

•Identification Errors (131)

•Discontinuities, Gaps, and Hand-Off Problems (443)

•Fatigue and Sleep Deprivation (89)

•Medication Safety (1443)

•Medical Complications (445)

•Nonsurgical Procedural Complications (100)

•Surgical Complications (443)

•Transfusion Complications (20)

•Psychological and Social Complications (139)

Origin/Sponsor
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United States of America

•United States Federal Government (285)

•State Governments and Agencies (40)

Resource Types

•Audiovisual (59)

•Bibliography (2)

•Book/Report (232)

•Clinical Guideline (9)

•Journal Article (2887)

•Legislation/Regulation (61)

•Meeting/Conference (37)

•Newsletter/Journal (12)

•Newspaper/Magazine Article (526)

•Press Release/Announcement (44)

•Special or Theme Issue (61)

•Tools/Toolkit (70)

•Web Resource (118)

Error Types

•Epidemiology of Errors and Adverse Events (1046)

•Active Errors (668)

•Latent Errors (250)

•Near Miss (73)

Approach to Improving Safety

•Quality Improvement Strategies (969)

•Legal and Policy Approaches (436)

•Error Reporting and Analysis (1155)

•Communication Improvement (963)

•Human Factors Engineering (549)

•Teamwork (290)

•Specialization of Care (269)

•Logistical Approaches (291)

•Culture of Safety (497)

•Technologic Approaches (908)

•Education and Training (845)

Clinical Areas

•Allied Health Services (12)

•Dentistry (4)

•Medicine (2616)

•Nursing (356)

•Pharmacy (629)

Target Audience

•Health Care Providers (3135)

•Health Care Executives and Administrators (3119)

•Non-Health Care Professionals (1572)

•Patients (400)

Setting of Care

•Hospitals (2374)

•Psychiatric Facilities (13)

•Residential Facilities (91)

•Ambulatory Care (442)

•Outpatient Surgery (50)

•Patient Transport (26)

1 - 20 of 4169

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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

An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies.

Palchuk MB, Fang EA, Cygielnik JM, et al. J Am Med Inform Assoc. 2010;17:472-476.

STUDY

Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting.

Gurwitz JH, Field TS, Rochon P, et al. J Am Geriatr Soc. 2008;56:2225-2233.

STUDY

Consistency between coded poison center data and fatality abstract narratives for therapeutic error deaths in older adults.

Hayes BD, Klein-Schwartz W. Clin Toxicol (Phila). 2010;48:68-71.

STUDY

National study on the frequency, types, causes, and consequences of voluntarily reported emergency department medication errors.

Pham JC, Story JL, Hicks RW, et al. J Emerg Med. 2011;40:485-492.

STUDY

Computerized decision support for medication dosing in renal insufficiency: a randomized, controlled trial.

Terrell KM, Perkins AJ, Hui SL, Callahan CM, Dexter PR, Miller DK. Ann Emerg Med. 2010;56:623-629.

STUDY

Effect of a pharmacist-led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes.

Lapane KL, Hughes CM, Daiello LA, Cameron KA, Feinberg J. J Am Geriatr Soc. 2011;59:1238-1245.

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

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

The relationship between computerized physician order entry and pediatric adverse drug events: a nested matched case-control study.

Yu F, Salas M, Kim YI, Menachemi N. Pharmacoepidemiol Drug Saf. 2009;18:751-755.

STUDY

A comparison of voluntarily reported medication errors in intensive care and general care units.

Kane-Gill SL, Kowiatek JG, Weber RJ. Qual Saf Health Care. 2010;19:55-59.

STUDY

Medication discrepancies upon hospital to skilled nursing facility transitions.

Tjia J, Bonner A, Briesacher BA, McGee S, Terrill E, Miller K. J Gen Intern Med. 2009;24:630-635.

STUDY

Electronic prescribing improves medication safety in community-based office practices.

Kaushal R, Kern LM, Barrón Y, Quaresimo J, Abramson EL. J Gen Intern Med. 2010;25:530-536.

STUDY

Using an enhanced oral chemotherapy computerized provider order entry system to reduce prescribing errors and improve safety.

Collins CM, Elsaid KA. Int J Qual Health Care. 2011;23:36-43.

REVIEW

classic

Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

Kaushal R, Shojania KG, Bates DW. Arch Intern Med. 2003;163:1409-1416.

NEWSPAPER/MAGAZINE ARTICLE

CPOE: it don't come easy.

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

STUDY

classic

Effect of bar-code technology on the safety of medication administration.

Poon EG, Keohane CA, Yoon CS, et al. N Engl J Med. 2010;362:1698-1707.

STUDY

Medication administration errors in assisted living: scope, characteristics, and the importance of staff training.

Zimmerman S, Love K, Sloane PD, Cohen LW, Reed D, Carder PC; Center for Excellence in Assisted Living-University of North Carolina Collaborative. J Am Geriatr Soc. 2011;59:1060-1068.

NEWSPAPER/MAGAZINE ARTICLE

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

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

STUDY

Antimicrobial prescription errors in hospitalized children: role of antimicrobial stewardship program in detection and intervention.

Di Pentima MC, Chan S, Eppes SC, Klein JD. Clin Pediatr (Phila). 2009;53:715-723e1.

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