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Volumn 2, Issue 1, 2008, Pages 7-14

Building a diabetes registry from the veterans health administration's computerized patient record system

Author keywords

Computerized medical records systems; Diabetes mellitus; Quality of health care

Indexed keywords


EID: 64349099008     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229680800200103     Document Type: Conference Paper
Times cited : (15)

References (16)
  • 1
    • 85039638508 scopus 로고    scopus 로고
    • Surveillance Epidemiology and End Results. 2007 [cited 2007 Nov. 4]. Available from: http://seer.cancer.gov.
  • 3
    • 0032129778 scopus 로고    scopus 로고
    • A population-based approach to diabetes management in a primary care setting: Early results and lessons learned
    • McCulloch DK, Price MJ, Hindmarsh M, Wagner EH. A population-based approach to diabetes management in a primary care setting: early results and lessons learned. Eff Clin Pract. 1998;1(1):12-22.
    • (1998) Eff Clin Pract. , vol.1 , Issue.1 , pp. 12-22
    • McCulloch, D.K.1    Price, M.J.2    Hindmarsh, M.3    Wagner, E.H.4
  • 4
    • 0002567354 scopus 로고    scopus 로고
    • Chronic disease management: What will it take to improve care for chronic illness?
    • Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1(1):2-4.
    • (1998) Eff Clin Pract. , vol.1 , Issue.1 , pp. 2-4
    • Wagner, E.H.1
  • 5
    • 34347394983 scopus 로고    scopus 로고
    • Assessing the potential of national strategies for electronic health records for population health monitoring and research
    • Friedman DJ. Assessing the potential of national strategies for electronic health records for population health monitoring and research. Vital Health Stat 2. 2006;(143):1-83.
    • (2006) Vital Health Stat , vol.2 , Issue.143 , pp. 1-83
    • Friedman, D.J.1
  • 7
    • 85039648670 scopus 로고    scopus 로고
    • VISTA [U. S. government Web site]. June 12, 2007 [cited 2007 Nov. 12]. Available from: http://www.virec.research.va.gov/DataSourcesName/VISTA/VISTA. htm.
  • 9
    • 85039646537 scopus 로고    scopus 로고
    • Beneficiary Identification Records Locator Sub-System (BIRLS) Death File. 2007 [cited 2007 Nov. 7]. Available from: http://www.virec.research.va.gov/ DataSourcesName/BIRLS/BIRLS.htm.
  • 12
    • 2342479925 scopus 로고    scopus 로고
    • Who has diabetes? Best estimates of diabetes prevalence in the Department of Veterans Affairs based on computerized patient data
    • Miller DR, Safford MM, Pogach LM. Who has diabetes? Best estimates of diabetes prevalence in the Department of Veterans Affairs based on computerized patient data. Diabetes Care. 2004;27Suppl 2:B10-21.
    • (2004) Diabetes Care. , vol.27 , Issue.SUPPL. 2
    • Miller, D.R.1    Safford, M.M.2    Pogach, L.M.3
  • 13
    • 35348945833 scopus 로고    scopus 로고
    • Shared medical appointments based on the chronic care model: A quality improvement project to address the challenges of patients with diabetes with high cardiovascular risk
    • Kirsh S, Watts S, Pascuzzi K, O'Day ME, Davidson D, Strauss G, Kern EO, Aron DC. Shared medical appointments based on the chronic care model: a quality improvement project to address the challenges of patients with diabetes with high cardiovascular risk. Qual Saf Health Care. 2007;16(5):349-53.
    • (2007) Qual Saf Health Care. , vol.16 , Issue.5 , pp. 349-353
    • Kirsh, S.1    Watts, S.2    Pascuzzi, K.3    O'Day, M.E.4    Davidson, D.5    Strauss, G.6    Kern, E.O.7    Aron, D.C.8
  • 16
    • 0033175943 scopus 로고    scopus 로고
    • Clinical performance improvement series. Classic CQI integrated with comprehensive disease management as a model for performance improvement
    • Joshi MS, Bernard DB. Clinical performance improvement series. Classic CQI integrated with comprehensive disease management as a model for performance improvement. Jt Comm J Qual Improv. 1999;25(8):383-95.
    • (1999) Jt Comm J Qual Improv. , vol.25 , Issue.8 , pp. 383-395
    • Joshi, M.S.1    Bernard, D.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.