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Journal Abstract Search

1437 related items for PubMed ID: 19395307

  • 21. Prevalence of the prescribing of potentially inappropriate medications at ambulatory care visits by elderly patients covered by the Taiwanese National Health Insurance program.
    Lai HY, Hwang SJ, Chen YC, Chen TJ, Lin MH, Chen LK.
    Clin Ther; 2009 Aug; 31(8):1859-70. PubMed ID: 19808145
    [Abstract] [Full Text] [Related]

  • 22. Early experiences with E-prescribing.
    Halamka J.
    J Healthc Inf Manag; 2006 Aug; 20(2):12-4. PubMed ID: 16669580
    [Abstract] [Full Text] [Related]

  • 23. The impact of prescribing safety alerts for elderly persons in an electronic medical record: an interrupted time series evaluation.
    Smith DH, Perrin N, Feldstein A, Yang X, Kuang D, Simon SR, Sittig DF, Platt R, Soumerai SB.
    Arch Intern Med; 2006 May 22; 166(10):1098-104. PubMed ID: 16717172
    [Abstract] [Full Text] [Related]

  • 24. Electronic health records and electronic prescribing: promise and pitfalls.
    Cusack CM.
    Obstet Gynecol Clin North Am; 2008 Mar 22; 35(1):63-79, ix. PubMed ID: 18319129
    [Abstract] [Full Text] [Related]

  • 25. Reasons provided by prescribers when overriding drug-drug interaction alerts.
    Grizzle AJ, Mahmood MH, Ko Y, Murphy JE, Armstrong EP, Skrepnek GH, Jones WN, Schepers GP, Nichol WP, Houranieh A, Dare DC, Hoey CT, Malone DC.
    Am J Manag Care; 2007 Oct 22; 13(10):573-8. PubMed ID: 17927462
    [Abstract] [Full Text] [Related]

  • 26. What can primary care prescribing data tell us about individual adherence to long-term medication?-comparison to pharmacy dispensing data.
    Mabotuwana T, Warren J, Harrison J, Kenealy T.
    Pharmacoepidemiol Drug Saf; 2009 Oct 22; 18(10):956-64. PubMed ID: 19609958
    [Abstract] [Full Text] [Related]

  • 27. Adherence to black box warnings for prescription medications in outpatients.
    Lasser KE, Seger DL, Yu DT, Karson AS, Fiskio JM, Seger AC, Shah NR, Gandhi TK, Rothschild JM, Bates DW.
    Arch Intern Med; 2006 Feb 13; 166(3):338-44. PubMed ID: 16476875
    [Abstract] [Full Text] [Related]

  • 28. Prescribing trends by nurse practitioners and physician assistants in the United States.
    Cipher DJ, Hooker RS, Guerra P.
    J Am Acad Nurse Pract; 2006 Jun 13; 18(6):291-6. PubMed ID: 16719848
    [Abstract] [Full Text] [Related]

  • 29. Evaluation of laboratory monitoring alerts within a computerized physician order entry system for medication orders.
    Palen TE, Raebel M, Lyons E, Magid DM.
    Am J Manag Care; 2006 Jul 13; 12(7):389-95. PubMed ID: 16834525
    [Abstract] [Full Text] [Related]

  • 30. Electronic transfer of prescription-related information: comparing views of patients, general practitioners, and pharmacists.
    Porteous T, Bond C, Robertson R, Hannaford P, Reiter E.
    Br J Gen Pract; 2003 Mar 13; 53(488):204-9. PubMed ID: 14694696
    [Abstract] [Full Text] [Related]

  • 31. Reducing warfarin medication interactions: an interrupted time series evaluation.
    Feldstein AC, Smith DH, Perrin N, Yang X, Simon SR, Krall M, Sittig DF, Ditmer D, Platt R, Soumerai SB.
    Arch Intern Med; 2006 May 08; 166(9):1009-15. PubMed ID: 16682575
    [Abstract] [Full Text] [Related]

  • 32. E-prescribing and primary noncompliance: physician and patient experience.
    Hakim A.
    Prof Case Manag; 2010 May 08; 15(2):62-7; quiz 68-9. PubMed ID: 20234287
    [Abstract] [Full Text] [Related]

  • 33. Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.
    Zenziper Y, Kurnik D, Markovits N, Ziv A, Shamiss A, Halkin H, Loebstein R.
    Isr Med Assoc J; 2014 May 08; 16(5):289-94. PubMed ID: 24979833
    [Abstract] [Full Text] [Related]

  • 34. The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care.
    Tamblyn R, Huang A, Perreault R, Jacques A, Roy D, Hanley J, McLeod P, Laprise R.
    CMAJ; 2003 Sep 16; 169(6):549-56. PubMed ID: 12975221
    [Abstract] [Full Text] [Related]

  • 35. Preventing drug interactions by online prescription screening in community pharmacies and medical practices.
    Halkin H, Katzir I, Kurman I, Jan J, Malkin BB.
    Clin Pharmacol Ther; 2001 Apr 16; 69(4):260-5. PubMed ID: 11309555
    [Abstract] [Full Text] [Related]

  • 36. Analysis and redesign of a knowledge database for a drug-drug interactions alert system.
    Luna D, Otero V, Canosa D, Montenegro S, Otero P, de Quirós FG.
    Stud Health Technol Inform; 2007 Apr 16; 129(Pt 2):885-9. PubMed ID: 17911843
    [Abstract] [Full Text] [Related]

  • 37. Characteristics of clinical decision support alert overrides in an electronic prescribing system at a tertiary care paediatric hospital.
    Jani YH, Barber N, Wong IC.
    Int J Pharm Pract; 2011 Oct 16; 19(5):363-6. PubMed ID: 21899617
    [Abstract] [Full Text] [Related]

  • 38. Perceptions of e-prescribing efficiencies and inefficiencies in ambulatory care.
    Lapane KL, Rosen RK, Dubé C.
    Int J Med Inform; 2011 Jan 16; 80(1):39-46. PubMed ID: 21112243
    [Abstract] [Full Text] [Related]

  • 39. Differences between integrated and stand-alone E-prescribing systems have implications for future use.
    Desroches CM, Agarwal R, Angst CM, Fischer MA.
    Health Aff (Millwood); 2010 Dec 16; 29(12):2268-77. PubMed ID: 21134929
    [Abstract] [Full Text] [Related]

  • 40. Overrides of clinical decision support alerts in primary care clinics.
    Slight SP, Nanji KC, Seger DL, Cho I, Volk LA, Bates DW.
    Stud Health Technol Inform; 2013 Dec 16; 192():923. PubMed ID: 23920697
    [Abstract] [Full Text] [Related]

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