AHRQ Patient Safety Network

The Collection > Ordering/Prescribing Errors

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Ordering/Prescribing Errors

Origin/Sponsor

•Asia (3)

•Australia and New Zealand (12)

•Central and South America (2)

Resource Types

•Journal Article (252)

•Legislation/Regulation (4)

•Newspaper/Magazine Article (29)

•Press Release/Announcement (4)

•Special or Theme Issue (2)

•Tools/Toolkit (3)

•Web Resource (1)

Error Types

•Epidemiology of Errors and Adverse Events (114)

•Active Errors (94)

•Latent Errors (19)

•Near Miss (8)

Approach to Improving Safety

•Quality Improvement Strategies (73)

•Legal and Policy Approaches (10)

•Error Reporting and Analysis (49)

•Communication Improvement (57)

•Human Factors Engineering (34)

•Teamwork (6)

•Specialization of Care (27)

•Logistical Approaches (16)

•Culture of Safety (7)

•Technologic Approaches (168)

•Education and Training (47)

Clinical Areas

Target Audience

•Health Care Providers (243)

•Health Care Executives and Administrators (200)

•Non-Health Care Professionals (126)

•Patients (9)

Setting of Care

•Hospitals (175)

•Psychiatric Facilities (1)

•Residential Facilities (7)

•Ambulatory Care (53)

•Outpatient Surgery (1)

•Patient Transport (1)

1 - 20 of 301

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STUDY

Impact of health information technology on detection of potential adverse drug events at the ordering stage.

Roberts LL, Ward MM, Brokel JM, Wakefield DS, Crandall DK, Conlon P. Am J Health Syst Pharm. 2010;67:1838-1846.

STUDY

The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study.

Franklin BD, O'Grady K, Donyai P, Jacklin A, Barber N. Qual Saf Health Care. 2007;16:279-284.

STUDY

Medication-error reporting and pharmacy resident experience during implementation of computerized prescriber order entry.

Weant KA, Cook AM, Armitstead JA. Am J Health Syst Pharm. 2007;64:526-530.

STUDY

Parenteral nutrition prescribing processes using computerized prescriber order entry: opportunities to improve safety.

Hilmas E, Peoples JD. JPEN J Parenter Enteral Nutr. 2012;36(suppl 2):32S-35S.

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

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

Complexity of medication-related verbal orders.

Wakefield DS, Ward MM, Groath D, et al. Am J Med Qual. 2008;23:7-17.

COMMENTARY

Eptifibatide Epilogue

Churchill WW, Fiumara K. AHRQ WebM&M [serial online]. April 2009.

STUDY

Impact of electronic prescribing in a hospital setting: a process-focused evaluation.

Cunningham TR, Geller ES, Clarke SW. Int J Med Inform. 2008;77:546-554.

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.

COMMENTARY

ISMP medication error report analysis.

Cohen MR, Smetzer JL. Hosp Pharm. 2010;45:282-287.

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.

NEWSPAPER/MAGAZINE ARTICLE

Supplementary Advisory: Results of the PA-PSRS Workgroup on Pharmacy Computer System Safety.

PA-PSRS Patient Saf Advis. May 2007;4(suppl 2):1-8.

STUDY

Mixed results in the safety performance of computerized physician order entry.

Metzger J, Welebob E, Bates DW, Lipsitz S, Classen DC. Health Aff (Millwood). 2010;29:655-663.

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

Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.

Phansalkar S, van der Sijs H, Tucker AD, et al. J Am Med Inform Assoc. 2013;20:489-493.

STUDY

Understanding and preventing wrong-patient electronic orders: a randomized controlled trial.

Adelman JS, Kalkut GE, Schechter CB, et al. J Am Med Inform Assoc. 2013;20:305-310.

NEWSPAPER/MAGAZINE ARTICLE

Dose of technology helps Shands at UF avoid drug errors.

Chun D. Gainsville Sun. August 21, 2006.

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.

COMMENTARY

Sick and Pregnant

El-Ibiary S. AHRQ WebM&M [serial online]. November 2008.

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