The Risk-Adjusted Mortality Index. A new measure of hospital performance. DesHarnais, S. I., Chesney, J. D., Wroblewski, R. T., Fleming, S. T., & McMahon, L. F. Medical care, 26:1129–1148, December, 1988.
doi  abstract   bibtex   
The Commission on Professional and Hospital Activities (CPHA) developed the Risk-Adjusted Mortality Index (RAMI), a method for comparing hospital death rates using existing abstract or billing data. The method is comprehensive insofar as it includes all payers and all types of cases except neonates. RAMI was designed to differentiate among admissions on the basis of the patient characteristics that increase or reduce the risk of dying in the hospital. Using a large national data base, risk factors were determined empirically within each of 310 clusters based on diagnosis-related groups (DRGs). The model was very effective at predicting risk-adjusted outcomes, with a correlation of 0.98 between actual and predicted deaths in a sample of 300 hospitals. RAMI appears to be a powerful tool for using existing data to monitor changes over time in hospital death rates.
@Article{DesHarnais1988,
  author          = {DesHarnais, S. I. and Chesney, J. D. and Wroblewski, R. T. and Fleming, S. T. and McMahon, L. F.},
  journal         = {Medical care},
  title           = {The Risk-Adjusted Mortality Index. A new measure of hospital performance.},
  year            = {1988},
  issn            = {0025-7079},
  month           = dec,
  pages           = {1129--1148},
  volume          = {26},
  abstract        = {The Commission on Professional and Hospital Activities (CPHA) developed the Risk-Adjusted Mortality Index (RAMI), a method for comparing hospital death rates using existing abstract or billing data. The method is comprehensive insofar as it includes all payers and all types of cases except neonates. RAMI was designed to differentiate among admissions on the basis of the patient characteristics that increase or reduce the risk of dying in the hospital. Using a large national data base, risk factors were determined empirically within each of 310 clusters based on diagnosis-related groups (DRGs). The model was very effective at predicting risk-adjusted outcomes, with a correlation of 0.98 between actual and predicted deaths in a sample of 300 hospitals. RAMI appears to be a powerful tool for using existing data to monitor changes over time in hospital death rates.},
  citation-subset = {IM},
  completed       = {1989-01-26},
  country         = {United States},
  doi             = {10.1097/00005650-198812000-00004},
  issn-linking    = {0025-7079},
  issue           = {12},
  keywords        = {Adult; Aged; Centers for Medicare and Medicaid Services, U.S.; Child; Commission on Professional and Hospital Activities; Diagnosis-Related Groups; Female; Health Services Research; Hospitals, standards; Humans; Male; Models, Theoretical; Mortality; Outcome and Process Assessment, Health Care, methods; Quality of Health Care; Regression Analysis; Risk Factors; United States},
  nlm-id          = {0230027},
  owner           = {NLM},
  pmid            = {3143868},
  pubmodel        = {Print},
  pubstate        = {ppublish},
  revised         = {2019-12-10},
}

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