A decision-theoretic method for assessing a change in the rate of non-acceptable inpatient claims

Health Services and Outcomes Research Methodology

Volumn 2, Issue 1, 2001, Pages 19-36

  Rosenberg, Marjorie A ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Bayesian methodology; Cost containment; Gibbs sampling; Utilization management

Indexed keywords

ARTICLE; CLINICAL PROTOCOL; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; HEALTH CARE COST; HEALTH CARE MANAGEMENT; HEALTH CARE ORGANIZATION; HEALTH CARE QUALITY; HEALTH CARE SYSTEM; HEALTH INSURANCE; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MEDICAL ASSESSMENT; MEDICAL AUDIT; MEDICAL DECISION MAKING; MEDICAL FEE; METHODOLOGY; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE PAYMENT; QUALITY CONTROL; REGRESSION ANALYSIS; THEORY;

EID: 0034876819     PISSN: 13873741     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011472032604     Document Type: Article

References (20)

1. Does inappropriate use explain geographic variations in the use of health care services
2. Medicare: HCFA's Use of Anti-Fraud-and-Abuse Funding and Authorities
3. Monitoring quality of care: What do we need to know
4. Identifying and managing inappropriate hospital utilization
5. A comparative analysis of appropriateness of hospital use
6. A statistical control model for utilization management programs
7. A hierarchical bayesian model for predicting the rate of non-acceptable inpatient hospital utilization
8. A management tool for controlling the rate of non-acceptable inpatient hospital claims
9. Using claims data to monitor hospital utilization
10. Inappropriate use of hospitals in a randomized trial of health insurance plans
11. Patient, provider, and hospital characteristics associated with inappropriate hospitalization
12. Can hospital discharge diagnoses be used for intensive care unit administrative and quality management functions?