AHRQ Patient Safety Network

The Collection > Epidemiology of Errors and Adverse Events

PATIENT SAFETY PRIMERS
Never Events
Adverse Events after Hospital Discharge

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Safety Target

•Device-related Complications (68)

•Diagnostic Errors (105)

•Identification Errors (53)

•Discontinuities, Gaps, and Hand-Off Problems (164)

•Fatigue and Sleep Deprivation (26)

•Medication Safety (574)

•Medical Complications (177)

•Nonsurgical Procedural Complications (20)

•Surgical Complications (195)

•Transfusion Complications (12)

•Psychological and Social Complications (29)

Origin/Sponsor

•Africa (2)

•Asia (24)

•Australia and New Zealand (43)

•Central and South America (6)

•Europe (209)

•North America (1057)

Resource Types

•Audiovisual (4)

•Book/Report (32)

•Journal Article (1238)

•Legislation/Regulation (3)

•Meeting/Conference (2)

•Newspaper/Magazine Article (53)

•Press Release/Announcement (2)

•Special or Theme Issue (1)

•Tools/Toolkit (1)

•Web Resource (7)

Error Types
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Epidemiology of Errors and Adverse Events

Approach to Improving Safety

•Quality Improvement Strategies (241)

•Legal and Policy Approaches (60)

•Error Reporting and Analysis (542)

•Communication Improvement (225)

•Human Factors Engineering (128)

•Teamwork (46)

•Specialization of Care (91)

•Logistical Approaches (98)

•Culture of Safety (85)

•Technologic Approaches (269)

•Education and Training (169)

Clinical Areas

•Allied Health Services (3)

Target Audience

•Health Care Providers (929)

•Health Care Executives and Administrators (1089)

•Non-Health Care Professionals (404)

•Patients (48)

Setting of Care

•Hospitals (967)

•Psychiatric Facilities (6)

•Residential Facilities (35)

•Ambulatory Care (159)

•Outpatient Surgery (19)

•Patient Transport (18)

1 - 20 of 1343

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STUDY

Matching identifiers in electronic health records: implications for duplicate records and patient safety.

McCoy AB, Wright A, Kahn MG, Shapiro JS, Bernstam EV, Sittig DF. BMJ Qual Saf. 2013;22:219-224.

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

Assessing the accuracy of drug profiles in an electronic medical record system of a Washington State hospital.

Platte B, Akinci F, Güç Y. Am J Manag Care. 2010;16:e245-e250.

STUDY

Medication errors in paediatric outpatients.

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

STUDY

Electronic prescribing within an electronic health record reduces ambulatory prescribing errors.

Abramson EL, Barrón Y, Quaresimo J, Kaushal R. Jt Comm J Qual Patient Saf. 2011;37:470-478.

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

Specimen labeling errors in surgical pathology: an 18-month experience.

Layfield LJ, Anderson GM. Am J Clin Pathol. 2010;134:466-470.

STUDY

Patient safety perceptions of primary care providers after implementation of an electronic medical record system.

McGuire MJ, Noronha G, Samal L, Yeh HC, Crocetti S, Kravet S. J Gen Intern Med. 2013;28:184-192.

REVIEW

Bar code technology and medication administration error.

Young J, Slebodnik M, Sands L. J Patient Saf. 2010;6;115-120.

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

An intervention to decrease patient identification band errors in a children's hospital.

Hain PD, Joers B, Rush M, et al. Qual Saf Health Care. 2010;19:244-247.

STUDY

Improving the usability of intravenous medication labels to support safe medication delivery.

Bauer DT, Guerlain S. Int J Ind Ergon. 2011;41:394-399.

STUDY

Electronic health record-based surveillance of diagnostic errors in primary care.

Singh H, Giardina TD, Forjuoh SN, et al. BMJ Qual Saf. 2012;22:93-100.

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

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

Impact of implementing alerts about medication black-box warnings in electronic health records.

Yu DT, Seger DL, Lasser KE, et al. Pharmacoepidemiol Drug Saf. 2011;20:192-202.

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

The incidence and cost of unexpected hospital use after scheduled outpatient endoscopy.

Leffler DA, Kheraj R, Garud S, et al. Arch Intern Med. 2010;170:1752-1757.

STUDY

Computerized decision support for medication dosing in renal insufficiency: a randomized, controlled trial.

Terrell KM, Perkins AJ, Hui SL, Callahan CM, Dexter PR, Miller DK. Ann Emerg Med. 2010;56:623-629.

STUDY

An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies.

Palchuk MB, Fang EA, Cygielnik JM, et al. J Am Med Inform Assoc. 2010;17:472-476.

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