Ash, Arlene S.Ellis, Randall P.Pope, Gregory C.Ayanian, John Z.Bates, David W.Burstin, HelenIezzoni, Lisa I.MacKay, ElizabethYu, Wei2022-08-232022-08-232001-08-032010-07-01Health Care Financ Rev. 2000 Spring;21(3):7-28. <a href="http://www.cms.gov/HealthCareFinancingReview/Downloads/00springpg7.pdf">Link to article on publisher's site</a>0195-8631 (Linking)11481769https://hdl.handle.net/20.500.14038/47565The 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.en-USAdolescentAdultAgedChildChild, PreschoolCost AllocationDemographyDiagnosis-Related GroupsEligibility DeterminationFemaleHealth ExpendituresHumansInfantMaleManaged Care ProgramsMedicaidMedicareMiddle Aged*Models, EconometricBiostatisticsEpidemiologyHealth Services ResearchJournal Articlehttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1698&amp;context=qhs_pp&amp;unstamped=1https://escholarship.umassmed.edu/qhs_pp/6981378844qhs_pp/698