title: The effect of electronic medical record adoption on outcomes in US hospitals.
abstract: BACKGROUND
  The electronic medical record (EMR) is one of the most promising components of health information technology. However, the overall impact of EMR adoption on outcomes at US hospitals remains unknown. This study examined the relationship between basic EMR adoption and 30-day rehospitalization, 30-day mortality, inpatient mortality and length of stay.
  
  
  METHODS
  Our overall approach was to compare outcomes for the two years before and two years after the year of EMR adoption, at 708 acute-care hospitals in the US from 2000 to 2007. We looked at the effect of EMR on outcomes using two methods. First, we compared the outcomes by quarter for the period before and after EMR adoption among hospitals that adopted EMR. Second, we compared hospitals that adopted EMR to those that did not, before and after EMR adoption, using a generalized linear model.
  
  
  RESULTS
  Hospitals adopting EMR experienced 0.11 (95% CI: -0.218 to -0.002) days' shorter length of stay and 0.182 percent lower 30-day mortality, but a 0.19 (95% CI: 0.0006 to 0.0033) percent increase in 30-day rehospitalization in the two years after EMR adoption. The association of EMR adoption with outcomes also varied by type of admission (medical vs. surgical).
  
  
  CONCLUSIONS
  Previous studies using observational data from large samples of hospitals have produced conflicting results. However, using different methods, we found a small but statistically significant association of EMR adoption with outcomes of hospitalization.
authors: Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA. jinlee@utmb.edu
authors: Jinhyung
authors: J
authors: Lee
authors: Yong-Fang
authors: YF
authors: Kuo
authors: James S
authors: JS
authors: Goodwin
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D016001:Confidence Intervals; D004059:Diffusion of Innovation; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D017052:Hospital Mortality / Q000639:trends; D006761:Hospitals; D006801:Humans; D007902:Length of Stay; D016014:Linear Models; D008297:Male; D017063:Outcome Assessment, Health Care / Q000379:methods; D010359:Patient Readmission; D014481:United States / Q000453:epidemiology
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