AHRQ Patient Safety Network

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The Collection

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Safety Target

•Device-related Complications (21)

•Diagnostic Errors (59)

•Identification Errors (22)

•Discontinuities, Gaps, and Hand-Off Problems (133)

•Fatigue and Sleep Deprivation (41)

•Medication Safety (406)

•Medical Complications (55)

•Nonsurgical Procedural Complications (14)

•Surgical Complications (76)

•Transfusion Complications (4)

•Psychological and Social Complications (36)

Origin/Sponsor

•Asia (9)

•Australia and New Zealand (9)

•Europe (50)

•North America (877)

Resource Types
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Study

Error Types

•Epidemiology of Errors and Adverse Events (336)

•Active Errors (124)

•Latent Errors (35)

•Near Miss (14)

Approach to Improving Safety

•Quality Improvement Strategies (150)

•Legal and Policy Approaches (40)

•Error Reporting and Analysis (223)

•Communication Improvement (173)

•Human Factors Engineering (66)

•Teamwork (50)

•Specialization of Care (65)

•Logistical Approaches (107)

•Culture of Safety (51)

•Technologic Approaches (432)

•Education and Training (149)

Clinical Areas

•Allied Health Services (1)

•Medicine (670)

•Nursing (57)

•Pharmacy (146)

Target Audience

•Health Care Providers (740)

•Health Care Executives and Administrators (700)

•Non-Health Care Professionals (503)

•Patients (9)

Setting of Care

•Hospitals (631)

•Psychiatric Facilities (1)

•Residential Facilities (14)

•Ambulatory Care (97)

•Outpatient Surgery (8)

•Patient Transport (2)

1 - 20 of 944

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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

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

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.

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

Errors associated with medications removed from automated dispensing machines using override functions.

Kester K, Baxter J, Freudenthal K. Hosp Pharm. 2006;41:535-537.

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.

STUDY

Assessing the anticipated consequences of computer-based provider order entry at three community hospitals using an open-ended, semi-structured survey instrument.

Sittig DF, Ash JS, Guappone KP, Campbell EM, Dykstra RH. Int J Med Inform. 2008;77:440-447.

STUDY

A cognitive task analysis of information management strategies in a computerized provider order entry environment.

Weir CR, Hicken BL, Nebeker J, et al. J Am Med Inform Assoc. 2007;14:65-75.

STUDY

High rates of adverse drug events in a highly computerized hospital.

Nebeker JR, Hoffman JM, Weir CR, Bennett CL, Hurdle JF. Arch Intern Med. 2005;165:1111-1116.

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

Transmitting and processing electronic prescriptions: experiences of physician practices and pharmacies.

Grossman JM, Cross DA, Boukus ER, Cohen GR. J Am Med Inform Assoc. 2012;19:353-359.

STUDY

Computerized clinical decision support for medication prescribing and utilization in pediatrics.

Stultz JS, Nahata MC. J Am Med Inform Assoc. 2012;19:942-953.

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

Early adopters of computerized physician order entry in hospitals that care for children: a picture of US health care shortly after the Institute of Medicine reports on quality.

Teufel RJ 2nd, Swanson Kazley A, Basco WT Jr. Clin Pediatr (Phila). 2009;48:389-396.

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

Chemotherapy dose limits set by users of a computer order entry system.

DuBeshter B, Griggs J, Angel C, Loughner J. Hosp Pharm. 2006;41:136-142.

STUDY

Electronic prescribing improves medication safety in community-based office practices.

Kaushal R, Kern LM, Barrón Y, Quaresimo J, Abramson EL. J Gen Intern Med. 2010;25:530-536.

STUDY

Systematically improving physician assignment during in-hospital transitions of care by enhancing a preexisting hospital electronic health record.

Zsenits B, Polashenski WA, Sterns RH, Brown DR IV, Moheet A. J Hosp Med. 2009;4:308-312.

STUDY

Computerized prescribing alerts and group academic detailing to reduce the use of potentially inappropriate medications in older people.

Simon SR, Smith DH, Feldstein AC, et al. J Am Geriatr Soc. 2006;54:963-968.

STUDY

Comparison of methods for identifying patients at risk of medication-related harm.

van Doormaal JE, Rommers MK, Kosterink JGW, Teepe-Twiss IM, Haaijer-Ruskamp FM, Mol PGM. Qual Saf Health Care. 2010;19:e26.

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