• Title of article

    Impact of four training conditions on physician use of a web-based clinical decision support system

  • Author/Authors

    Kealey، نويسنده , , Edith and Leckman-Westin، نويسنده , , Emily and Finnerty، نويسنده , , Molly T. Vogt، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    6
  • From page
    39
  • To page
    44
  • Abstract
    AbstractBackground ng has been identified as an important barrier to implementation of clinical decision support systems (CDSSs), but little is known about the effectiveness of different training approaches. s an observational retrospective cohort design, we examined the impact of four training conditions on physician use of a CDSS: (1) computer lab training with individualized follow-up (CL-FU) (n = 40), (2) computer lab training without follow-up (CL) (n = 177), (3) lecture demonstration (LD) (n = 16), or (4) no training (NT) (n = 134). Odds ratios of any use and ongoing use under training conditions were compared to no training over a 2-year follow-up period. s was associated with the highest percent of active users and odds for any use (90.0%, odds ratio (OR) = 10.2, 95% confidence interval (CI): 3.2–32.9) and ongoing use (60.0%, OR = 6.1 95% CI: 2.6–13.7), followed by CL (any use = 81.4%, OR = 5.3, CI: 2.9–9.6; ongoing use = 28.8%, OR = 1.7, 95% CI: 1.0–3.0). LD was not superior to no training (any use = 47%, ongoing use = 22.4%). sion ng format may have differential effects on initial and long-term follow-up of CDSSs use by physicians.
  • Keywords
    Clinical decision support system (CDSS) , Generalized linear multilevel model (GLMM) , Health information technology (HIT) , Physician computer training
  • Journal title
    Artificial Intelligence In Medicine
  • Serial Year
    2013
  • Journal title
    Artificial Intelligence In Medicine
  • Record number

    1837284