AHRQ Patient Safety Network

The Collection > General Hospitals

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Safety Target

•Device-related Complications (43)

•Diagnostic Errors (22)

•Identification Errors (41)

•Discontinuities, Gaps, and Hand-Off Problems (119)

•Fatigue and Sleep Deprivation (15)

•Medication Safety (263)

•Medical Complications (128)

•Nonsurgical Procedural Complications (37)

•Surgical Complications (242)

•Transfusion Complications (3)

•Psychological and Social Complications (29)

Origin/Sponsor

•Africa (1)

•Asia (19)

•Australia and New Zealand (36)

•Central and South America (4)

Resource Types

•Clinical Guideline (1)

•Journal Article (809)

•Legislation/Regulation (4)

•Meeting/Conference (1)

•Newspaper/Magazine Article (33)

•Press Release/Announcement (3)

•Special or Theme Issue (13)

•Web Resource (5)

•Grant (1)

Error Types

•Epidemiology of Errors and Adverse Events (284)

•Active Errors (184)

•Latent Errors (42)

•Near Miss (22)

Approach to Improving Safety

•Quality Improvement Strategies (210)

•Legal and Policy Approaches (36)

•Error Reporting and Analysis (212)

•Communication Improvement (269)

•Human Factors Engineering (179)

•Teamwork (186)

•Specialization of Care (78)

•Logistical Approaches (68)

•Culture of Safety (112)

•Technologic Approaches (199)

•Education and Training (175)

Clinical Areas

•Allied Health Services (3)

•Medicine (776)

•Nursing (81)

•Pharmacy (74)

Target Audience

•Health Care Providers (704)

•Health Care Executives and Administrators (823)

•Non-Health Care Professionals (368)

•Patients (14)

Setting of Care
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General Hospitals

•Intensive Care Units (147)

•Emergency Departments (106)

•Operating Room (247)

•Labor and Delivery (42)

1 - 20 of 884

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STUDY

Computerized physician order entry of injectable antineoplastic drugs: an epidemiologic study of prescribing medication errors.

Nerich V, Limat S, Demarchi M, et al. Int J Med Inform. 2010;79:699-706.

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

Chemotherapy patients' perceptions of drug administration safety.

Schwappach DLB, Wernli M. J Clin Oncol. 2010;28:2896-2901.

STUDY

Adverse drug event rates in six community hospitals and the potential impact of computerized physician order entry for prevention.

Hug BL, Witkowski DJ, Sox CM, et al. J Gen Intern Med. 2010;25:31-38.

STUDY

Impact of a computerized physician order entry system on compliance with prescription accuracy requirements.

Mir C, Gadri A, Zelger GL, Pichon R, Pannatier A. Pharm World Sci. 2009;31:596-602.

STUDY

Am I (un)safe here? Chemotherapy patients' perspectives towards engaging in their safety.

Schwappach DLB, Wernli M. Qual Saf Health Care. 2010;19:e9.

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

The wolf is crying in the operating room: patient monitor and anesthesia workstation alarming patterns during cardiac surgery.

Schmid F, Goepfert MS, Kuhnt D, et al. Anesth Analg. 2011;112:78-83.

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

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 the implementation of an electronic prescribing system create unintended medication errors? A study of the sociotechnical context through the analysis of reported medication incidents.

Redwood S, Rajakumar A, Hodson J, Coleman JJ. BMC Med Inform Decis Mak. 2011;11:29.

COMMENTARY

Decreasing patient misidentification before chemotherapy administration.

Spruill A, Eron B, Coghill A, Talbert G. Clin J Oncol Nurs. 2009;13:716-717.

STUDY

Predictive value of alert triggers for identification of developing adverse drug events.

Moore C, Li J, Hung CC, Downs J, Nebeker JR. J Patient Saf. 2009;5:223-228.

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

Prevalence of medication administration errors in two medical units with automated prescription and dispensing.

Rodriguez-Gonzalez CG, Herranz-Alonso A, Martin-Barbero ML, et al. J Am Med Inform Assoc. 2012;19:72-78.

STUDY

Polypharmacy in hospitalized older adult cancer patients: experience from a prospective, observational study of an oncology-acute care for elders unit.

Flood KL, Carroll MB, Le CV, Brown CJ. Am J Geriatr Pharmacother. 2009;7:151-158.

STUDY

Clinicians' satisfaction with CPOE ease of use and effect on clinicians' workflow, efficiency and medication safety.

Khajouei R, Wierenga PC, Hasman A, Jaspers MW. Int J Med Inform. 2011;80:297-309.

STUDY

Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs' computerized patient record system.

Lin C-P, Payne TH, Nichol WP, et al. J Am Med Inform Assoc. 2008;15:620-626.

STUDY

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

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