Using diagnoses to describe populations and predict costs

Citation
As. Ash et al., Using diagnoses to describe populations and predict costs, HEAL CARE F, 21(3), 2000, pp. 7-28
Citations number
19
Categorie Soggetti
Public Health & Health Care Science
Journal title
HEALTH CARE FINANCING REVIEW
ISSN journal
01958631 → ACNP
Volume
21
Issue
3
Year of publication
2000
Pages
7 - 28
Database
ISI
SICI code
0195-8631(200021)21:3<7:UDTDPA>2.0.ZU;2-4
Abstract
The Diagnostic Cost Group Hierarchical Condition Category (DCG/HCC) payment models summarize the health care problems and predict the future health ca re costs of populations. These models use the diagnoses generated during pa tient encounters with the medical delivery system to infer which medical pr oblems are present. Patient demographics and diagnostic profiles are, in tu rn, used to predict costs. We describe the logic, structure, coefficients a nd performance of DCG/HCC models, as developed and validated on three impor tant data bases (privately insured, Medicaid, and Medicare) with more than 1 million people each.