Literature DB >> 8563361

A clinical economics workstation for risk-adjusted health care cost management.

E L Eisenstein1, J W Hales.   

Abstract

This paper describes a healthcare cost accounting system which is under development at Duke University Medical Center. Our approach differs from current practice in that this system will dynamically adjust its resource usage estimates to compensate for variations in patient risk levels. This adjustment is made possible by introducing a new cost accounting concept, Risk-Adjusted Quantity (RQ). RQ divides case-level resource usage variances into their risk-based component (resource consumption differences attributable to differences in patient risk levels) and their non-risk-based component (resource consumption differences which cannot be attributed to differences in patient risk levels). Because patient risk level is a factor in estimating resource usage, this system is able to simultaneously address the financial and quality dimensions of case cost management. In effect, cost-effectiveness analysis is incorporated into health care cost management.

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Year:  1995        PMID: 8563361      PMCID: PMC2579168     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  8 in total

Review 1.  Methods for the analysis and assessment of clinical databases: the clinician's perspective.

Authors:  D B Pryor; K L Lee
Journal:  Stat Med       Date:  1991-04       Impact factor: 2.373

2.  Thomas: building Bayesian statistical expert systems to aid in clinical decision making.

Authors:  H P Lehmann; E H Shortliffe
Journal:  Comput Methods Programs Biomed       Date:  1991-08       Impact factor: 5.428

Review 3.  Clinical economics. A guide to the economic analysis of clinical practices.

Authors:  J M Eisenberg
Journal:  JAMA       Date:  1989-11-24       Impact factor: 56.272

4.  The evolution of medical and surgical therapy for coronary artery disease. A 15-year perspective.

Authors:  R M Califf; F E Harrell; K L Lee; J S Rankin; M A Hlatky; D B Mark; R H Jones; L H Muhlbaier; H N Oldham; D B Pryor
Journal:  JAMA       Date:  1989-04-14       Impact factor: 56.272

5.  Survival in medically treated coronary artery disease.

Authors:  P J Harris; F E Harrell; K L Lee; V S Behar; R A Rosati
Journal:  Circulation       Date:  1979-12       Impact factor: 29.690

6.  Comparison of analytic models for estimating the effect of clinical factors on the cost of coronary artery bypass graft surgery.

Authors:  R A Dudley; F E Harrell; L R Smith; D B Mark; R M Califf; D B Pryor; D Glower; J Lipscomb; M Hlatky
Journal:  J Clin Epidemiol       Date:  1993-03       Impact factor: 6.437

7.  Discordance of databases designed for claims payment versus clinical information systems. Implications for outcomes research.

Authors:  J G Jollis; M Ancukiewicz; E R DeLong; D B Pryor; L H Muhlbaier; D B Mark
Journal:  Ann Intern Med       Date:  1993-10-15       Impact factor: 25.391

8.  Preoperative determinants of postoperative costs associated with coronary artery bypass graft surgery.

Authors:  L R Smith; C A Milano; B S Molter; J R Elbeery; D C Sabiston; P K Smith
Journal:  Circulation       Date:  1994-11       Impact factor: 29.690

  8 in total
  2 in total

1.  The use of patient mix-adjusted control charts to compare in-hospital costs of care.

Authors:  E L Eisenstein; C F Bethea
Journal:  Health Care Manag Sci       Date:  1999-12

2.  Surgeons' economic profiles: can we get the "right" answers?

Authors:  Eric L Eisenstein; Charles F Bethea; Lawrence H Muhlbaier; Marie Davidian; Eric D Peterson; Judith A Stafford; Daniel B Mark
Journal:  J Med Syst       Date:  2005-04       Impact factor: 4.460

  2 in total

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