A Decision Support System for the allocation of health care resources to decrease the disease incidence in developing countries (Contributo in atti di convegno)

Type
Label
  • A Decision Support System for the allocation of health care resources to decrease the disease incidence in developing countries (Contributo in atti di convegno) (literal)
Anno
  • 1994-01-01T00:00:00+01:00 (literal)
Alternative label
  • Rafanelli M.; Ferri F.; Maceratini R.; Pourabbas E. (1994)
    A Decision Support System for the allocation of health care resources to decrease the disease incidence in developing countries
    in 8th Int. Conference on Biomedical Engineering, Singapore, 7-10 December, 1994
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Rafanelli M.; Ferri F.; Maceratini R.; Pourabbas E. (literal)
Pagina inizio
  • 394 (literal)
Pagina fine
  • 396 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the 8th Int. Conference on Biomedical Engineering, Springer (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 3 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IRPPS - Istituto di ricerche sulla popolazione e le politiche sociali, Consiglio Nazionale delle Ricerche, Italy IASI - Istituto di Analisi dei Sistemi ed Informatica \"Antonio Ruberti\", Consiglio Nazionale delle Ricerche, Italy Università degli Studi di Roma \"La Sapienza\" (literal)
Titolo
  • A Decision Support System for the allocation of health care resources to decrease the disease incidence in developing countries (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9789971623746 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • J.C. Goh and A. Nather (literal)
Abstract
  • The health resource allocation problem is discussed in this paper. An object-oriented systems is proposed and its implemented prototype is illustrated. It consists of two part: a geographical Information System, which is able to acquire and store both geographical and socio-epidemiological Information (enclosed the resource distribution on that territory), and a Decision Support System, able to decide, using the optimization algorithms, the new resource allocation in order to obtain the best solution optimizing the cost/benefit ratio, after having fixed goal (e.g., the decrease of the incidence of a given disease) and constraints (e.g., a fixed budget, a given set of available resources, etc.). The object-oriented database can simulate and store different scenarios, depending on the different goals and constraints defined in input. A user friendly interface was also implemented. (literal)
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