AHRQ Patient Safety Network

The Collection > Medication Errors/Preventable Adverse Drug Events

PATIENT SAFETY PRIMERS
Medication Errors

Narrow By

clear selections

Safety Target
< All

Medication Errors/Preventable Adverse Drug Events

•Ordering/Prescribing Errors (158)

•Transcription Errors (15)

•Dispensing Errors (32)

•Administration Errors (110)

•Monitoring Errors and Failures (6)

Origin/Sponsor

•Africa (2)

•Asia (17)

•Australia and New Zealand (19)

•Central and South America (2)

Resource Types

•Clinical Guideline (2)

•Journal Article (843)

•Legislation/Regulation (10)

•Meeting/Conference (2)

•Newsletter/Journal (1)

•Newspaper/Magazine Article (127)

•Press Release/Announcement (3)

•Special or Theme Issue (9)

•Tools/Toolkit (14)

•Web Resource (10)

•Grant (1)

Error Types

•Epidemiology of Errors and Adverse Events (514)

•Active Errors (237)

•Latent Errors (58)

•Near Miss (27)

Approach to Improving Safety

•Quality Improvement Strategies (219)

•Legal and Policy Approaches (54)

•Error Reporting and Analysis (315)

•Communication Improvement (212)

•Human Factors Engineering (147)

•Teamwork (19)

•Specialization of Care (87)

•Logistical Approaches (65)

•Culture of Safety (59)

•Technologic Approaches (427)

•Education and Training (126)

Clinical Areas

•Allied Health Services (2)

Target Audience

•Health Care Providers (769)

•Health Care Executives and Administrators (757)

•Non-Health Care Professionals (396)

•Patients (66)

Setting of Care

•Hospitals (604)

•Psychiatric Facilities (3)

•Residential Facilities (37)

•Ambulatory Care (180)

•Outpatient Surgery (5)

•Patient Transport (7)

1 - 20 of 1061

Show ExcerptDon't Show Excerpt

dropdown

STUDY

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis.

Muething SE, Conway PH, Kloppenborg E, et al. Qual Saf Health Care. 2010;19:435-439.

STUDY

Characteristics of medication errors and adverse drug events in hospitals participating in the California Pediatric Patient Safety Initiative.

Takata GS, Taketomo CK, Waite S; for the California Pediatric Patient Safety Initiative. Am J Health Syst Pharm. 2008;65:2036-2044.

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

Computerized surveillance for adverse drug events in a pediatric hospital.

Kilbridge PM, Noirot LA, Reichley RM, et al. J Am Med Inform Assoc. 2009;16:607-612.

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

Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool.

Leung AA, Keohane C, Lipsitz S, et al. J Am Med Inform Assoc. 2013 Apr 18; [Epub ahead of print].

STUDY

Medication errors related to computerized order entry for children.

Walsh KE, Adams WG, Bauchner H, et al. Pediatrics. 2006;118:1872-1879.

STUDY

Automated identification of postoperative complications within an electronic medical record using natural language processing.

Murff HJ, FitzHenry F, Matheny ME, et al. JAMA. 2011;306:848-855.

STUDY

Comparison of computerized surveillance and manual chart review for adverse events.

Tinoco A, Evans RS, Staes CJ, Lloyd JF, Rothschild JM, Haug PJ. J Am Med Inform Assoc. 2011;18:491-497.

STUDY

Pharmacovigilance using clinical notes.

LePendu P, Iyer SV, Bauer-Mehren A, et al. Clin Pharmacol Ther. 2013 Mar 4; [Epub ahead of print].

STUDY

Understanding pharmacist decision making for adverse drug event (ADE) detection.

Phansalkar S, Hoffman JM, Hurdle JF, Patel VL. J Eval Clin Pract. 2009;15:266-275.

REVIEW

Systematic review of medication safety assessment methods.

Meyer-Massetti C, Cheng CM, Schwappach DL, et al. Am J Health Syst Pharm. 2011;68:227-240.

STUDY

Improving documentation of a beta-blocker quality measure through an anesthesia information management system and real-time notification of documentation errors.

Nair BG, Peterson GN, Newman S, Wu W, Kolios-Morris V, Schwid HA. Jt Comm J Qual Patient Saf. 2012:38;283-288.

STUDY

The relationship between computerized physician order entry and pediatric adverse drug events: a nested matched case-control study.

Yu F, Salas M, Kim YI, Menachemi N. Pharmacoepidemiol Drug Saf. 2009;18:751-755.

STUDY

Outpatient adverse drug events identified by screening electronic health records.

Gandhi TK, Seger AC, Overhage JM, et al. J Patient Saf. 2010;6;91-96.

NEWSPAPER/MAGAZINE ARTICLE

The enterprise take on patient safety.

Rogoski RR. Health Manage Technol. August 2005;26:12,14,16,18.

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

Utilising improvement science methods to optimise medication reconciliation.

White CM, Schoettker PJ, Conway PH, et al. BMJ Qual Saf. 2011;20:372-380.

STUDY

Electronic health records and adverse drug events after patient transfer.

Boockvar KS, Livote EE, Goldstein N, Nebeker JR, Siu A, Fried T. Qual Saf Health Care. 2010;19:e16.

MEASUREMENT TOOL/INDICATOR

National Survey of Safety Features with Pharmacy Computer Systems.

Huntingdon Valley, PA: Institute for Safe Medication Practices; 2005.

1 2 3 4 5 6 7 8 9 10 11 Next >