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Toward an improvement of life optimizing resource use
M Rafanelli1, F Ferri, R Maceratini
1Istituto di Analisi dei Sistemi ed Informatica - IASI, Roma, Italy.
Medinfo. MEDINFO
|January 1, 1995
Summary
This study introduces an object-oriented system for managing epidemiological data to reduce disease incidence. It optimizes healthcare resource allocation based on current health situations and available budgets for improved cost-benefit outcomes.
Area of Science:
- Public Health
- Health Informatics
- Epidemiology
Background:
- Effective management of epidemiological data is crucial for disease control.
- Optimizing healthcare resource allocation impacts public health outcomes.
- Current systems may lack integrated approaches for data management and resource planning.
Purpose of the Study:
- To describe an object-oriented system for storing and managing epidemiological data.
- To decrease disease incidence through strategic healthcare interventions and resource allocation.
- To optimize the cost-benefit rate of healthcare strategies.
Main Methods:
- Development of an object-oriented system for epidemiological data.
- Integration of current epidemiological status and resource distribution.
- Input of budget, population, environmental, and disease parameters.
- Utilization of proprietary allocation algorithms for resource optimization.
Main Results:
- The system enables efficient storage and management of epidemiological data.
- It facilitates strategic application of healthcare interventions.
- Optimized allocation of human and material resources based on cost-benefit analysis.
Conclusions:
- The described system provides a framework for data-driven healthcare management.
- It supports evidence-based decision-making for disease prevention and control.
- The system aims to enhance healthcare efficiency and effectiveness.