AHRQ Patient Safety Network

The Collection > General Hospitals

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Safety Target

•Device-related Complications (78)

•Diagnostic Errors (55)

•Identification Errors (61)

•Discontinuities, Gaps, and Hand-Off Problems (169)

•Fatigue and Sleep Deprivation (15)

•Medication Safety (403)

•Medical Complications (174)

•Nonsurgical Procedural Complications (45)

•Surgical Complications (342)

•Transfusion Complications (5)

•Psychological and Social Complications (43)

Origin/Sponsor

•Africa (2)

•Asia (26)

•Australia and New Zealand (50)

•Central and South America (8)

Resource Types

•Clinical Guideline (1)

•Journal Article (1122)

•Legislation/Regulation (6)

•Meeting/Conference (1)

•Newspaper/Magazine Article (61)

•Press Release/Announcement (4)

•Special or Theme Issue (15)

•Tools/Toolkit (1)

•Web Resource (8)

•Grant (1)

Error Types

•Epidemiology of Errors and Adverse Events (488)

•Active Errors (307)

•Latent Errors (104)

•Near Miss (35)

Approach to Improving Safety

•Quality Improvement Strategies (303)

•Legal and Policy Approaches (54)

•Error Reporting and Analysis (336)

•Communication Improvement (338)

•Human Factors Engineering (262)

•Teamwork (163)

•Specialization of Care (111)

•Logistical Approaches (87)

•Culture of Safety (146)

•Technologic Approaches (232)

•Education and Training (248)

Clinical Areas

•Allied Health Services (2)

•Medicine (1118)

•Nursing (123)

•Pharmacy (115)

Target Audience

•Health Care Providers (943)

•Health Care Executives and Administrators (1085)

•Non-Health Care Professionals (455)

•Patients (38)

Setting of Care
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General Hospitals

•Intensive Care Units (243)

•Emergency Departments (193)

•Operating Room (355)

•Labor and Delivery (61)

1 - 20 of 1251

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STUDY

Medicines reconciliation using a shared electronic health care record.

Moore P, Armitage G, Wright J, Dobrzanski S, Ansari N, Hammond I, Scally A. J Patient Saf. 2011;7:147-153.

STUDY

Can an electronic prescribing system detect doctors who are more likely to make a serious prescribing error?

Coleman JJ, Hemming K, Nightingale PG, et al. J R Soc Med. 2011;104:208-218.

STUDY

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

Pharmacists' interventions in prescribing errors at hospital discharge: an observational study in the context of an electronic prescribing system in a UK teaching hospital.

Abdel-Qader DH, Harper L, Cantrill JA, Tully MP. Drug Saf. 2010;33:1027-1044.

STUDY

Evaluating the medication process in the context of CPOE use: the significance of working around the system.

Niazkhani Z, Pirnejad H, van der Sijs H, Aarts J. Int J Med Inform. 2011;80:490-506.

STUDY

Does user-centred design affect the efficiency, usability and safety of CPOE order sets?

Chan J, Shojania KG, Easty AC, Etchells EE. J Am Med Inform Assoc. 2011;18:276-281.

STUDY

Bedouch P, Allenet B, Grass A, et al. J Clin Pharm Ther. 2009;34:187-195.

STUDY

Physician order entry or nurse order entry? Comparison of two implementation strategies for a computerized order entry system aimed at reducing dosing medication errors.

Kazemi A, Fors UG, Tofighi S, Tessma M, Ellenius J. J Med Internet Res. 2010;12:e5.

STUDY

Results of the Medications At Transitions and Clinical Handoffs (MATCH) study: an analysis of medication reconciliation errors and risk factors at hospital admission.

Gleason KM, McDaniel MR, Feinglass J, et al. J Gen Intern Med. 2010;25:441-447.

STUDY

Omitted and unjustified medications in the discharge summary.

Perren A, Previsdomini M, Cerutti B, Soldini D, Donghi D, Marone C. Qual Saf Health Care. 2009;18:205-208.

STUDY

Effect of admission medication reconciliation on adverse drug events from admission medication changes.

Boockvar KS, Blum S, Kugler A, et al. Arch Intern Med. 2011;171:860-861.

STUDY

Medication errors resulting from computer entry by nonprescribers.

Santell JP, Kowiatek JG, Weber RJ, Hicks RW, Sirio CA. Am J Health Syst Pharm. 2009;66:843-853.

STUDY

Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial.

Strom BL, Schinnar R, Aberra F, et al. Arch Intern Med. 2010;170:1578-1583.

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

Medication errors: how reliable are the severity ratings reported to the National Reporting and Learning System?

Williams SD, Ashcroft DM. Int J Qual Health Care. 2009;21:316-320.

STUDY

Comparison of methods for identifying patients at risk of medication-related harm.

van Doormaal JE, Rommers MK, Kosterink JGW, Teepe-Twiss IM, Haaijer-Ruskamp FM, Mol PGM. Qual Saf Health Care. 2010;19:e26.

STUDY

Wristbands as aids to reduce misidentification: an ethnographically guided task analysis.

Smith AF, Casey K, Wilson J, Fischbacher-Smith D. Int J Qual Health Care. 2011;23:590-599.

STUDY

High incidence of medication documentation errors in a Swiss university hospital due to the handwritten prescription process.

Hartel MJ, Staub LP, Röder C, Eggli S. BMC Health Serv Res. 2011;11:199.

STUDY

Why patient summaries in electronic health records do not provide the cognitive support necessary for nurses' handoffs on medical and surgical units: insights from interviews and observations.

Staggers N, Clark L, Blaz JW, Kapsandoy S. Health Informatics J. 2011;17:209-223.

NEWSPAPER/MAGAZINE ARTICLE

Neuromuscular blocking agents: reducing associated wrong-drug errors.

PA-PSRS Patient Saf Advis. December 2009;6:109-114.

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