AHRQ Patient Safety Network

The Collection > Hospitals

Narrow By

clear selections

Safety Target

•Device-related Complications (112)

•Diagnostic Errors (72)

•Identification Errors (54)

•Discontinuities, Gaps, and Hand-Off Problems (261)

•Fatigue and Sleep Deprivation (43)

•Medication Safety (856)

•Medical Complications (288)

•Nonsurgical Procedural Complications (45)

•Surgical Complications (236)

•Transfusion Complications (14)

•Psychological and Social Complications (54)

Origin/Sponsor

•Africa (4)

•Asia (58)

•Australia and New Zealand (88)

•Central and South America (11)

•Europe (510)

•North America (1482)

Resource Types

•Audiovisual (14)

•Award (7)

•Book/Report (95)

•Clinical Guideline (2)

•Journal Article (1787)

•Legislation/Regulation (21)

•Meeting/Conference (2)

•Newspaper/Magazine Article (174)

•Press Release/Announcement (7)

•Special or Theme Issue (14)

•Tools/Toolkit (22)

•Web Resource (25)

•Grant (2)

Error Types

•Epidemiology of Errors and Adverse Events (1003)

•Active Errors (338)

•Latent Errors (142)

•Near Miss (47)

Approach to Improving Safety

•Quality Improvement Strategies (497)

•Legal and Policy Approaches (136)

•Error Reporting and Analysis (766)

•Communication Improvement (424)

•Human Factors Engineering (296)

•Teamwork (118)

•Specialization of Care (188)

•Logistical Approaches (162)

•Culture of Safety (245)

•Technologic Approaches (543)

•Education and Training (331)

Clinical Areas

•Allied Health Services (4)

Target Audience

•Health Care Providers (1397)

•Health Care Executives and Administrators (1862)

•Non-Health Care Professionals (859)

•Patients (92)

Setting of Care
< All

Hospitals

•General Hospitals (615)

•Children’s Hospitals (70)

•Specialty Hospitals (47)

1 - 20 of 2172

Show ExcerptDon't Show Excerpt

dropdown

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

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

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

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

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.

REVIEW

Prescribing errors in hospital practice.

Tully MP. Br J Clin Pharmacol. 2012;74:668-675.

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

Indication-based prescribing prevents wrong-patient medication errors in computerized provider order entry (CPOE).

Galanter W, Falck S, Burns M, Laragh M, Lambert BL. J Am Med Inform Assoc. 2013;20:477-481.

BOOK/REPORT

An In Depth Investigation into Causes of Prescribing Errors by Foundation Trainees in Relation to Their Medical Education—EQUIP Study.

Dornan T, Ashcroft D, Heathfield H, et al. London: General Medical Council; 2009.

STUDY

Does the implementation of an electronic prescribing system create unintended medication errors? A study of the sociotechnical context through the analysis of reported medication incidents.

Redwood S, Rajakumar A, Hodson J, Coleman JJ. BMC Med Inform Decis Mak. 2011;11:29.

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

Patient-specific electronic decision support reduces prescription of excessive doses.

Seidling HM, Schmitt SPW, Bruckner T, et al. Qual Saf Health Care. 2010;19:e15.

STUDY

Paediatric dosing errors before and after electronic prescribing.

Jani YH, Barber N, Wong ICK. Qual Saf Health Care. 2010;19:337-340.

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

Preventable and non-preventable adverse drug events in hospitalized patients: a prospective chart review in the Netherlands.

Dequito AB, Mol PG, van Doormaal JE, et al. Drug Saf. 2011;34:1089-1100.

COMMENTARY

Implementation of a telepharmacy service to provide round-the-clock medication order review by pharmacists.

Wakefield DS, Ward MM, Loes JL, O'Brien J, Sperry L. Am J Health Syst Pharm. 2010;67:2052-2057.

NEWSPAPER/MAGAZINE ARTICLE

Dose of technology helps Shands at UF avoid drug errors.

Chun D. Gainsville Sun. August 21, 2006.

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.

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

Errors and electronic prescribing: a controlled laboratory study to examine task complexity and interruption effects.

Magrabi F, Li SY, Day RO, Coiera E. J Am Med Inform Assoc. 2010;17:575-583.

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