http://www.cnr.it/ontology/cnr/individuo/prodotto/ID226474
A System to Define and Allocate Health Care Resources on a Territory to Improve the Life Quality of the Populations in Developing Countries (Articolo in rivista)
- Type
- Label
- A System to Define and Allocate Health Care Resources on a Territory to Improve the Life Quality of the Populations in Developing Countries (Articolo in rivista) (literal)
- Anno
- 1997-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1006/cbmr.1997.1456 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- FERRI F.; POURABBAS E.; RAFANELLI M.; SINDONI G. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- La rivista Journal of biomedical informatics era denominato Computers and biomedical research dal 1967 fino al 2000. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- PubMe (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 (literal)
- Titolo
- A System to Define and Allocate Health Care Resources on a Territory to Improve the Life Quality of the Populations in Developing Countries (literal)
- Abstract
- In this paper the health resource allocation problem is discussed. An object-oriented system is proposed and its implemented prototype is illustrated. It consists of two parts: a Geographical Information System, which is able to acquire and store both geographical and social-epidemiological information (including the resource distribution on that territory), and a Decision Support System, able to decide, using optimization algorithms, the new resource allocation in order to obtain a quasi-optimal solution for the cost/benefit ratio minimization problem, after having fixed the 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 which is part of the system can simulate and store different scenarios, depending on the different goals and constraints defined in input, by means of a user friendly interface. (literal)
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