AHRQ Patient Safety Network

The Collection > Information Professionals

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Safety Target

•Device-related Complications (14)

•Diagnostic Errors (13)

•Identification Errors (16)

•Discontinuities, Gaps, and Hand-Off Problems (54)

•Medication Safety (310)

•Medical Complications (21)

•Nonsurgical Procedural Complications (2)

•Surgical Complications (15)

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•Psychological and Social Complications (6)

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•Asia (7)

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•Journal Article (481)

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•Special or Theme Issue (7)

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Error Types

•Epidemiology of Errors and Adverse Events (136)

•Active Errors (93)

•Latent Errors (44)

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Approach to Improving Safety

•Quality Improvement Strategies (91)

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•Error Reporting and Analysis (84)

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•Technologic Approaches (517)

•Education and Training (48)

Clinical Areas

•Allied Health Services (1)

•Medicine (313)

•Nursing (36)

•Pharmacy (125)

Target Audience
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Information Professionals

Setting of Care

•Hospitals (304)

•Residential Facilities (6)

•Ambulatory Care (76)

•Outpatient Surgery (3)

1 - 20 of 571

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STUDY

A trial of automated decision support alerts for contraindicated medications using computerized physician order entry.

Galanter WL, Didomenico RJ, Polikaitis A. J Am Med Inform Assoc. 2005;12:269-274.

STUDY

Retrospective evaluation of a computerized physician order entry adaptation to prevent prescribing errors in a pediatric emergency department.

Sard BE, Walsh KE, Doros G, et al. Pediatrics. 2008;122:782-787.

NEWSPAPER/MAGAZINE ARTICLE

Drug errors show need for tech aid.

Landro L. The Wall Street Journal. June 1, 2005:D4.

ORGANIZATIONAL POLICY/GUIDELINES

Electronic prescribing systems in pediatrics: the rationale and functionality requirements.

American Academy of Pediatrics Council on Clinical Information Technology. Pediatrics. 2007;119:1229-1231.

COMMENTARY

Passing the "Yo' Mama" test.

Blair R. Health Manage Tech. June 2006;27:16.

STUDY

Time motion study in a pediatric emergency department before and after computer physician order entry.

Yen K, Shane EL, Pawar SS, Schwendel ND, Zimmanck RJ, Gorelick MH. Ann Emerg Med. 2009;53:462-468.

STUDY

Increasing adoption of computerized provider order entry, and persistent regional disparities, in US emergency departments.

Pallin DJ, Sullivan AF, Espinola JA, Landman AB, Camargo CA Jr. Ann Emerg Med. 2011;58:543-550.

NEWSPAPER/MAGAZINE ARTICLE

CPOE: it don't come easy.

Anderson HJ. Health Data Manag. January 1, 2009;17:18.

STUDY

Reasons provided by prescribers when overriding drug–drug interaction alerts.

Grizzle AJ, Mahmood MH, Ko Y, et al. Am J Manag Care. 2007;13:573-580.

STUDY

National study on the frequency, types, causes, and consequences of voluntarily reported emergency department medication errors.

Pham JC, Story JL, Hicks RW, et al. J Emerg Med. 2011;40:485-492.

STUDY

Tiering drug–drug interaction alerts by severity increases compliance rates.

Paterno MD, Maviglia SM, Gorman PN, et al. J Am Med Inform Assoc. 2009;16:40-46.

STUDY

Identifying and quantifying medication errors: evaluation of rapidly discontinued medication orders submitted to a computerized physician order entry system.

Koppel R, Leonard CE, Localio AR, Cohen A, Auten R, Strom BL. J Am Med Inform Assoc. 2008;15:461-465.

STUDY

An empirical model to estimate the potential impact of medication safety alerts on patient safety, health care utilization, and cost in ambulatory care.

Weingart SN, Simchowitz B, Padolsky H, et al. Arch Intern Med. 2009;169;1465-1473.

STUDY

Improved pain resolution in hospitalized patients through targeting of pain mismanagement as medical error.

Okon TR, Lutz PS, Liang H. J Pain Symptom Manage. 2009;37:1039-1049.

COMMENTARY

Safe chemotherapy administration: using failure mode and effects analysis in computerized prescriber order entry.

Kozakiewicz JM, Benis LJ, Fisher SM, Marseglia JB. Am J Health Syst Pharm. 2005;62:1813-1816.

STUDY

A randomized trial of electronic clinical reminders to improve medication laboratory monitoring.

Matheny ME, Sequist TD, Seger AC, et al. J Am Med Inform Assoc. 2008;15:424-429.

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

Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms.

Hume AL, Quilliam BJ, Goldman R, Eaton C, Lapane KL. BMJ Qual Saf. 2011;20:875-884.

STUDY

Validation of a diagnostic reminder system in emergency medicine: a multi-centre study.

Ramnarayan P, Cronje N, Brown R, et al. Emerg Med J. 2007;24:619-624.

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