An ontology-based framework for building economic evaluation models in health care

S. Quaglini, L. Dazzi, S. Falasconi, M. Marchetti, M. Stefanelli, G. Barosi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a framework which provides health care professionals with a set of tools for building decision-theory based support systems for resource management optimization of health care policies in selected areas. The generated models share a common ontology underlying the different types of represented knowledge needed to tackle budget-related decisions. Each chunk of knowledge is maintained by a specific professional, i.e. a physician, a hospital administrator, an economist, etc. Thus the resulting systems will facilitate the communication among them, allowing the physician to weigh his own opinions with constraints outlined by the administrator, and vice-versa. Another advantage is the improvement of result presentation in a standard format, that is one of the most recognized problems in the reusability of cost-effectiveness studies within different settings. The proposed framework is designed to be integrated into a distributed Health Care Information System.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages930-934
Number of pages5
Volume34
DOIs
Publication statusPublished - 1996
Event13th International Congress on Medical Informatics Europe, MIE 1996 - Copenhagen, Denmark
Duration: Aug 19 1996Aug 22 1996

Other

Other13th International Congress on Medical Informatics Europe, MIE 1996
CountryDenmark
CityCopenhagen
Period8/19/968/22/96

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Quaglini, S., Dazzi, L., Falasconi, S., Marchetti, M., Stefanelli, M., & Barosi, G. (1996). An ontology-based framework for building economic evaluation models in health care. In Studies in Health Technology and Informatics (Vol. 34, pp. 930-934) https://doi.org/10.3233/978-1-60750-878-6-930