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Study
PATIENT SAFETY PRIMERS
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Safety Target
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Device-related Complications (23)
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Diagnostic Errors (67)
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Identification Errors (20)
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Discontinuities, Gaps, and Hand-Off Problems (133)
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Fatigue and Sleep Deprivation (36)
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Medication Safety (404)
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Medical Complications (139)
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Surgical Complications (86)
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Asia (9)
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Epidemiology of Errors and Adverse Events (386)
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Approach to Improving Safety
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Quality Improvement Strategies (156)
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Legal and Policy Approaches (41)
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Error Reporting and Analysis (241)
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Human Factors Engineering (71)
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Teamwork (60)
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Specialization of Care (91)
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Logistical Approaches (105)
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Culture of Safety (49)
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Technologic Approaches (404)
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Education and Training (152)
Clinical Areas
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Allied Health Services (1)
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Medicine (754)
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Nursing (55)
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Pharmacy (137)
Target Audience
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Health Care Providers (794)
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Health Care Executives and Administrators (729)
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Non-Health Care Professionals (490)
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Patients (9)
Setting of Care
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Hospitals (679)
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Psychiatric Facilities (1)
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Residential Facilities (10)
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Outpatient Surgery (9)
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Patient Transport (9)
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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.
STUDY
Computerized physician order entry of medications and clinical decision support can improve problem list documentation compliance.
Galanter WL, Hier DB, Jao C, Sarne D. Int J Med Inform. 2010;79:332-328.
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
Evaluation of a Web-based education program on reducing medication dosing error: a multicenter, randomized controlled trial.
Frush K, Hohenhaus S, Luo X, Gerardi M, Wiebe RA. Pediatr Emerg Care. 2006;22:62-70.
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
Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial.
Strom BL, Schinnar R, Aberra F, et al. Arch Intern Med. 2010;170:1578-1583.
STUDY
Interruptions in a level one trauma center: a case study.
Brixey JJ, Tang Z, Robinson DJ, et al. Int J Med Inform. 2008;77:235-241.
STUDY
Characteristics of patient care management problems identified in emergency department morbidity and mortality investigations during 15 years.
Cosby KS, Roberts R, Palivos L, et al. Ann Emerg Med. 2008;51:251-61, 261.e1.
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
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
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
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
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.
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.
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
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
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.
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