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Optimization of malaria's treatment: An approach of medical decision analysis [Optimisation du traitement de la malaria : une approche d'analyse de la décision médicale]
Eustache Ayumba Muteba
Language English, French Country Czech Republic Media elektronický zdroj
- Keywords
- projekt OMaT,
- MeSH
- Diagnosis, Differential MeSH
- Geographic Information Systems MeSH
- Humans MeSH
- Malaria * diagnosis therapy MeSH
- Decision Support Systems, Clinical * MeSH
- Models, Theoretical MeSH
- Check Tag
- Humans MeSH
Objective: Nowadays, it is recognized in most modern hospital and public health systems an increasing concern to measure the quality of care. The quality of care can be focused on the characteristics of hospital production and the indicators of performance. The indicators of performance can permit, generally, to decrease complication rate, morbidity, mortality and costs of care. Therefore, one of the ways to optimize the quality of care is to use medical decision support system. Methods: The optimization of malaria’s treatment is based on an automatic extraction of a geographic information system database that can store and provide relevant information on malaria’s patient case of different regions. The method proposed is consisted of height main steps namely: specification of the case, indications or problems, actions or treatments strategies, estimative outcomes (benefit and risk), performance measure, decision, result and optimization.
Optimisation du traitement de la malaria : une approche d'analyse de la décision médicale
Optimization of malaria's treatment: An approach of medical decision analysis [elektronický zdroj] /
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Literatura
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- $a Muteba, Eustache Ayumba $u Independent Researcher and Correspondent of IMIA in DR Congo
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- $a Optimization of malaria's treatment: An approach of medical decision analysis $h [elektronický zdroj] / $c Eustache Ayumba Muteba
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- $a Objective: Nowadays, it is recognized in most modern hospital and public health systems an increasing concern to measure the quality of care. The quality of care can be focused on the characteristics of hospital production and the indicators of performance. The indicators of performance can permit, generally, to decrease complication rate, morbidity, mortality and costs of care. Therefore, one of the ways to optimize the quality of care is to use medical decision support system. Methods: The optimization of malaria’s treatment is based on an automatic extraction of a geographic information system database that can store and provide relevant information on malaria’s patient case of different regions. The method proposed is consisted of height main steps namely: specification of the case, indications or problems, actions or treatments strategies, estimative outcomes (benefit and risk), performance measure, decision, result and optimization.
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