title: The impact of health information technology on disparity of process of care.
abstract: BACKGROUND
  Disparities in the quality of health care and treatment among racial or ethnic groups can result from unequal access to medical care, disparate treatments for similar severities of symptoms, and wide divergence in general health status among individuals. Such disparities may be eliminated through better use of health information technology (IT). Investment in health IT could foster better coordinated care, improve guideline compliance, and reduce the likelihood of redundant testing, thereby encouraging more equitable treatment for underprivileged populations. However, there is little research exploring the impact of health IT investment on disparities of process of care.
  
  
  METHODS
  This study examines the impact of health IT investment on waiting times - from admission to the date of first principle procedure - among different racial and ethnic groups, using patient and hospital data for the state of California collected from 2001 to 2007. The final sample includes 14,056,930 patients admitted with medical diseases to 316 unique, acute-care hospitals over a seven-year period. The linear random intercept and slope model was employed to examine the impacts of health IT investment on waiting time, while controlling for patient, disease, and hospital characteristics.
  
  
  RESULTS
  Greater health IT investment was associated with shorter waiting times, and the reduction in waiting times was greater for non-White than for White patients. This indicates that minority populations could benefit from health IT investment with regard to process of care.
  
  
  CONCLUSIONS
  Investments in health IT may reduce disparities in process of care.
authors.affiliation: Department of Economics, Sungkyunkwan University, Seoul, Korea. leejinh@skku.edu.
authors.forename: Jinhyung
authors.initials: J
authors.lastname: Lee
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002140:California; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005260:Female; D006297:Health Services Accessibility; D054625:Healthcare Disparities; D006801:Humans; D007223:Infant; D008297:Male; D008490:Medical Informatics; D008875:Middle Aged; D014850:Waiting Lists; D055815:Young Adult