AHRQ Patient Safety Network

The Collection > General Internal Medicine

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Safety Target

•Device-related Complications (45)

•Diagnostic Errors (45)

•Identification Errors (22)

•Discontinuities, Gaps, and Hand-Off Problems (232)

•Fatigue and Sleep Deprivation (34)

•Medication Safety (352)

•Medical Complications (191)

•Nonsurgical Procedural Complications (12)

•Surgical Complications (57)

•Transfusion Complications (6)

•Psychological and Social Complications (54)

Origin/Sponsor

•Asia (17)

•Australia and New Zealand (30)

•Europe (182)

•North America (1054)

Resource Types

•Audiovisual (19)

•Award (7)

•Book/Report (82)

•Clinical Guideline (1)

•Journal Article (936)

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•Newspaper/Magazine Article (172)

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•Special or Theme Issue (7)

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Error Types

•Epidemiology of Errors and Adverse Events (352)

•Active Errors (162)

•Latent Errors (83)

•Near Miss (17)

Approach to Improving Safety

•Quality Improvement Strategies (303)

•Legal and Policy Approaches (145)

•Error Reporting and Analysis (356)

•Communication Improvement (357)

•Human Factors Engineering (123)

•Teamwork (85)

•Specialization of Care (91)

•Logistical Approaches (106)

•Culture of Safety (197)

•Technologic Approaches (244)

•Education and Training (233)

Clinical Areas
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General Internal Medicine

Target Audience

•Health Care Providers (744)

•Health Care Executives and Administrators (1002)

•Non-Health Care Professionals (493)

•Patients (110)

Setting of Care

•Hospitals (1065)

•Psychiatric Facilities (3)

•Residential Facilities (8)

•Ambulatory Care (202)

•Outpatient Surgery (2)

•Patient Transport (2)

1 - 20 of 1279

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STUDY

Assessing the value of electronic prescribing in ambulatory care: A focus group study.

Weingart SN, Massagli M, Cyrulik A, et al. Int J Med Inform. 2009;78:571-578.

STUDY

Development of a tool within the electronic medical record to facilitate medication reconciliation after hospital discharge.

Schnipper JL, Liang CL, Hamann C, et al. J Am Med Inform Assoc. 2011;18:309-313.

STUDY

Using an electronic prescribing system to ensure accurate medication lists in a large multidisciplinary medical group.

Stock R, Scott J, Gurtel S. Jt Comm J Qual Patient Saf. 2009;35:271-279.

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

The development and evaluation of an integrated electronic prescribing and drug management system for primary care.

Tamblyn R, Huang A, Kawasumi Y, et al. J Am Med Inform Assoc. 2006;13:148-159.

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

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

Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care.

Lo HG, Matheny ME, Seger DL, Bates DW, Gandhi TK. J Am Med Inform Assoc. 2009;16:66-71.

STUDY

The management of test results in primary care: does an electronic medical record make a difference?

Elder NC, McEwen TR, Flach J, Gallimore J, Pallerla H. Fam Med. 2010;42:327-333.

REVIEW

E-prescribing: a focused review and new approach to addressing safety in pharmacies and primary care.

Odukoya OK, Chui MA. Res Social Adm Pharm. 2012 Oct 10; [Epub ahead of print].

STUDY

A survey of factors affecting clinician acceptance of clinical decision support.

Sittig DF, Krall MA, Dykstra RH, Russell A, Chin HL. BMC Med Inform Decis Mak. 2006;6:6.

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

Experience with a trigger tool for identifying adverse drug events among older adults in ambulatory primary care.

Singh R, McLean-Plunckett EA, Kee R, et al. Qual Saf Health Care. 2009;18:199-204.

STUDY

Adverse drug events in general practice patients in Australia.

Miller GC, Britt HC, Valenti L. Med J Aust. 2006;184:321-324.

STUDY

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis.

Muething SE, Conway PH, Kloppenborg E, et al. Qual Saf Health Care. 2010;19:435-439.

STUDY

Implementation of a medication reconciliation process in an ambulatory internal medicine clinic.

Nassaralla CL, Naessens JM, Chaudhry R, Hansen MA, Scheitel SM. Qual Saf Health Care. 2007;16:90-94.

STUDY

Trends in primary care clinician perceptions of a new electronic health record.

El-Kareh R, Gandhi TK, Poon EG, et al. J Gen Intern Med. 2009;24:464-468.

STUDY

Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients.

Brenner S, Detz A, López A, Horton C, Sarkar U. BMJ Qual Saf. 2012;21:670-675.

COMMENTARY

Information chaos in primary care: implications for physician performance and patient safety.

Beasley JW, Wetterneck TB, Temte J, et al. J Am Board Fam Med. 2011;24:745-751.

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