AHRQ Patient Safety Network

The Collection > Ordering/Prescribing Errors

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Ordering/Prescribing Errors

Origin/Sponsor

•Asia (5)

•Australia and New Zealand (11)

•Central and South America (1)

Resource Types

•Journal Article (253)

•Legislation/Regulation (4)

•Newspaper/Magazine Article (28)

•Press Release/Announcement (4)

•Special or Theme Issue (2)

•Tools/Toolkit (3)

•Web Resource (1)

Error Types

•Epidemiology of Errors and Adverse Events (121)

•Active Errors (91)

•Latent Errors (18)

•Near Miss (7)

Approach to Improving Safety

•Quality Improvement Strategies (69)

•Legal and Policy Approaches (12)

•Error Reporting and Analysis (53)

•Communication Improvement (56)

•Human Factors Engineering (34)

•Teamwork (6)

•Specialization of Care (26)

•Logistical Approaches (15)

•Culture of Safety (7)

•Technologic Approaches (163)

•Education and Training (49)

Clinical Areas

Target Audience

•Health Care Providers (244)

•Health Care Executives and Administrators (201)

•Non-Health Care Professionals (130)

•Patients (9)

Setting of Care

•Hospitals (170)

•Psychiatric Facilities (1)

•Residential Facilities (6)

•Ambulatory Care (56)

•Outpatient Surgery (1)

•Patient Transport (1)

1 - 20 of 301

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STUDY

Transitioning between electronic health records: effects on ambulatory prescribing safety.

Abramson EL, Malhotra S, Fischer K, et al. J Gen Intern Med. 2011;26:868-874.

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

Medication prescribing and monitoring errors in primary care: a report from the Practice Partner Research Network.

Wessell AM, Litvin C, Jenkins RG, Nietert PJ, Nemeth LS, Ornstein SM. Qual Saf Health Care. 2010;19:e21.

STUDY

Medication errors in paediatric outpatients.

Kaushal R, Goldmann DA, Keohane CA, et al. Qual Saf Health Care. 2010;19:e30.

STUDY

High risk prescribing in primary care patients particularly vulnerable to adverse drug events: cross sectional population database analysis in Scottish general practice.

Guthrie B, McCowan C, Davey P, Simpson CR, Dreischulte T, Barnett K. BMJ. 2011;342:d3514.

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

Ambulatory prescribing errors among community-based providers in two states.

Abramson EL, Bates DW, Jenter C, et al. J Am Med Inform Assoc. 2012;19:644-648.

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

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

Assessing controlled substance prescribing errors in a pediatric teaching hospital: an analysis of the safety of analgesic prescription practice in the transition from the hospital to home.

Lee BH, Lehmann CU, Jackson EV, et al. J Pain. 2009;10:160-166.

STUDY

Receptionist input to quality and safety in repeat prescribing in UK general practice: ethnographic case study.

Swinglehurst D, Greenhalgh T, Russell J, Myall M. BMJ. 2011;343:d6788.

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

Perceptions of standards-based electronic prescribing systems as implemented in outpatient primary care: a physician survey.

Wang CJ, Patel MH, Schueth AJ, et al. J Am Med Inform Assoc. 2009;16:493-502.

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.

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

Prescribers' interactions with medication alerts at the point of prescribing: a multi-method, in situ investigation of the human–computer interaction.

Russ AL, Zillich AJ, McManus MS, Doebbeling BN, Saleem JJ. Int J Med Inform. 2012;81:232-243.

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 a weight-based prescribing method within an electronic health record on prescribing errors.

Ginzburg R, Barr WB, Harris M, Munshi S. Am J Health Syst Pharm. 2009;66:2037-2041.

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

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.

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