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Journal Abstract Search

159 related items for PubMed ID: 19238100

  • 1. Electronic health record-based cardiac risk assessment and identification of unmet preventive needs.
    Persell SD, Dunne AP, Lloyd-Jones DM, Baker DW.
    Med Care; 2009 Apr; 47(4):418-24. PubMed ID: 19238100
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  • 2. Integrated electronic decision support increases cardiovascular disease risk assessment four fold in routine primary care practice.
    Wells S, Furness S, Rafter N, Horn E, Whittaker R, Stewart A, Moodabe K, Roseman P, Selak V, Bramley D, Jackson R.
    Eur J Cardiovasc Prev Rehabil; 2008 Apr; 15(2):173-8. PubMed ID: 18391644
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  • 3. Assessing the validity of national quality measures for coronary artery disease using an electronic health record.
    Persell SD, Wright JM, Thompson JA, Kmetik KS, Baker DW.
    Arch Intern Med; 2006 Nov 13; 166(20):2272-7. PubMed ID: 17101947
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  • 4. Cardiovascular risk management at a Maori-led Primary Health Organisation--findings from a cross-sectional audit.
    Peiris D, Murray J, Scully D, Tilakawardene V, Hetaraka-Stevens L, Stewart T, Patel A.
    N Z Med J; 2008 Nov 07; 121(1285):35-46. PubMed ID: 19079435
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  • 5. Consequences of using different methods to assess cardiovascular risk in primary care.
    Fornasini M, Brotons C, Sellarès J, Martinez M, Galán ML, Sáenz I, da Pena JM.
    Fam Pract; 2006 Feb 07; 23(1):28-33. PubMed ID: 16243952
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  • 6. Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input.
    Staroselsky M, Volk LA, Tsurikova R, Pizziferri L, Lippincott M, Wald J, Bates DW.
    Int J Med Inform; 2006 Feb 07; 75(10-11):693-700. PubMed ID: 16338169
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  • 7. Using electronic health records to measure physician performance for acute conditions in primary care: empirical evaluation of the community-acquired pneumonia clinical quality measure set.
    Linder JA, Kaleba EO, Kmetik KS.
    Med Care; 2009 Feb 07; 47(2):208-16. PubMed ID: 19169122
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  • 13. Electronic medical records for clinical research: application to the identification of heart failure.
    Pakhomov S, Weston SA, Jacobsen SJ, Chute CG, Meverden R, Roger VL.
    Am J Manag Care; 2007 Jun 07; 13(6 Part 1):281-8. PubMed ID: 17567225
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  • 14. Utilising practice management system data for quality improvement in use of blood pressure lowering medications in general practice.
    Warren J, Gaikwad R, Mabotuwana T, Kennelly J, Kenealy T.
    N Z Med J; 2008 Nov 07; 121(1285):53-62. PubMed ID: 19079437
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  • 16. Improved therapeutic monitoring with several interventions: a randomized trial.
    Feldstein AC, Smith DH, Perrin N, Yang X, Rix M, Raebel MA, Magid DJ, Simon SR, Soumerai SB.
    Arch Intern Med; 2006 Sep 25; 166(17):1848-54. PubMed ID: 17000941
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  • 18. Identifying people at risk for undiagnosed type 2 diabetes using the GP's electronic medical record.
    Klein Woolthuis EP, de Grauw WJ, van Gerwen WH, van den Hoogen HJ, van de Lisdonk EH, Metsemakers JF, van Weel C.
    Fam Pract; 2007 Jun 25; 24(3):230-6. PubMed ID: 17510087
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  • 19. Guideline-oriented ambulatory lipid-lowering therapy of patients at high risk for cardiovascular events by cardiologists in clinical practice: the 2L cardio registry.
    Gitt AK, Juenger C, Jannowitz C, Karmann B, Senges J, Bestehorn K.
    Eur J Cardiovasc Prev Rehabil; 2009 Aug 25; 16(4):438-44. PubMed ID: 19369876
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  • 20. Emergency physician high pretest probability for acute coronary syndrome correlates with adverse cardiovascular outcomes.
    Chandra A, Lindsell CJ, Limkakeng A, Diercks DB, Hoekstra JW, Hollander JE, Kirk JD, Peacock WF, Gibler WB, Pollack CV, EMCREG i*trACS Investigators.
    Acad Emerg Med; 2009 Aug 25; 16(8):740-8. PubMed ID: 19673712
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