AHRQ Patient Safety Network

The Collection > Quality and Safety Professionals

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Safety Target

•Device-related Complications (111)

•Diagnostic Errors (113)

•Identification Errors (83)

•Discontinuities, Gaps, and Hand-Off Problems (237)

•Fatigue and Sleep Deprivation (45)

•Medication Safety (696)

•Medical Complications (263)

•Nonsurgical Procedural Complications (69)

•Surgical Complications (308)

•Transfusion Complications (13)

•Psychological and Social Complications (47)

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•Africa (2)

•Asia (49)

•Australia and New Zealand (91)

•Central and South America (8)

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•North America (1452)

Resource Types

•Audiovisual (7)

•Award (5)

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•Newspaper/Magazine Article (105)

•Press Release/Announcement (15)

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Error Types

•Epidemiology of Errors and Adverse Events (749)

•Active Errors (443)

•Latent Errors (128)

•Near Miss (53)

Approach to Improving Safety

•Quality Improvement Strategies (519)

•Legal and Policy Approaches (94)

•Error Reporting and Analysis (631)

•Communication Improvement (470)

•Human Factors Engineering (337)

•Teamwork (182)

•Specialization of Care (148)

•Logistical Approaches (142)

•Culture of Safety (216)

•Technologic Approaches (440)

•Education and Training (362)

Clinical Areas

•Allied Health Services (5)

Target Audience
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Quality and Safety Professionals

Setting of Care

•Hospitals (1386)

•Psychiatric Facilities (6)

•Residential Facilities (29)

•Ambulatory Care (159)

•Outpatient Surgery (20)

•Patient Transport (18)

1 - 20 of 2059

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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.

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

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

Multidisciplinary system for detecting medication errors in antineoplastic chemotherapy.

Serrano-Fabiá A, Albert-Marí A, Almenar-Cubells D, Jiménez-Torres NV. J Oncol Pharm Pract. 2010;16:105-112.

NEWSPAPER/MAGAZINE ARTICLE

Electronic prescribing vulnerabilities: height and weight mix-up leads to dosing error.

ISMP Medication Safety Alert! Acute Care Edition. August 26, 2010;15:1-3.

STUDY

Chemotherapy patients' perceptions of drug administration safety.

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

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

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

Patient-specific electronic decision support reduces prescription of excessive doses.

Seidling HM, Schmitt SPW, Bruckner T, et al. Qual Saf Health Care. 2010;19:e15.

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

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

Time-dependent drug–drug interaction alerts in care provider order entry: software may inhibit medication error reductions.

van der Sijs H, Lammers L, van den Tweel A, et al. J Am Med Inform Assoc. 2009;16:864-868.

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.

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

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

Paediatric dosing errors before and after electronic prescribing.

Jani YH, Barber N, Wong ICK. Qual Saf Health Care. 2010;19:337-340.

STUDY

Errors and omissions in hospital prescriptions: a survey of prescription writing in a hospital.

Calligaris L, Panzera A, Arnoldo L, et al. BMC Clin Pharmacol. 2009;9:9.

STUDY

The influence that electronic prescribing has on medication errors and preventable adverse drug events: an interrupted time-series study.

van Doormaal JE, van den Bemt PMLA, Zaal RJ, et al. J Am Med Inform Assoc. 2009;16:816-825.

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

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.

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