Using diagnoses to describe populations and predict costsQuantitative Health Sciences Publications and Presentations
UMMS AffiliationDepartment of Quantitative Health Sciences
SubjectsAdolescent; Adult; Aged; Child; Child, Preschool; Cost Allocation; Demography; Diagnosis-Related Groups; Eligibility Determination; Female; Health Expenditures; Humans; Infant; Male; Managed Care Programs; Medicaid; Medicare; Middle Aged; *Models, Econometric
AbstractThe Diagnostic Cost Group Hierarchical Condition Category (DCG/HCC) payment models summarize the health care problems and predict the future health care costs of populations. These models use the diagnoses generated during patient encounters with the medical delivery system to infer which medical problems are present. Patient demographics and diagnostic profiles are, in turn, used to predict costs. We describe the logic, structure, coefficients and performance of DCG/HCC models, as developed and validated on three important data bases (privately insured, Medicaid, and Medicare) with more than 1 million people each.
Rights and PermissionsCitation: Health Care Financ Rev. 2000 Spring;21(3):7-28. Link to article on publisher's site
Related ResourcesLink to Article in PubMed
Citation InformationArlene S. Ash, Randall P. Ellis, Gregory C. Pope, John Z. Ayanian, et al.. "Using diagnoses to describe populations and predict costs" Vol. 21 Iss. 3 (2001) ISSN: 0195-8631 (Linking)
Available at: http://works.bepress.com/arlene_ash/12/