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Decision process model to the health technology incorporation
Francisco A Santos1, Renato Garcia
1Institute of Biomedical Engineering - IEB-UFSC, Brazil. franciscoasis@ieb.ufsc.br
This study presents a decision model for acquiring hospital medical equipment indicators. It aids clinical engineering in managing health technology (HT) for better decision-making and usage.
Area of Science:
- Health Technology Assessment
- Clinical Engineering
- Decision Science
Background:
- Hospital medical equipment incorporation requires robust decision-making frameworks.
- Effective management of health technology (HT) is crucial for adequate usage and patient care.
- Existing processes may lack structured approaches for indicator acquisition in HT incorporation.
Purpose of the Study:
- To develop a decision model for acquiring indicators in hospital medical equipment incorporation.
- To integrate decision-making, technology assessment, and HT incorporation domains into a unified model.
- To support clinical engineering in managing medical technology effectively.
Main Methods:
- The model is based on three core domains: decision making, technology assessment, and Health Technology (HT) incorporation.
- Decision making involves analysis, synthesis, valuation, and considering reflective or deliberate approaches.
- Technology assessment utilizes multi-criteria decision methods like Analytic Hierarchy Process (AHP), MAFMA, and ELECTRE.
- HT incorporation covers planning, proposal production, receiving, installation, and management stages.
Main Results:
- A supporting model was developed to guide indicator creation within the HT incorporation process.
- The model aids in making informed decisions for HT incorporation and management.
- The three-domain architecture facilitates clinical engineering's management of medical hospital technology for adequate usage.
Conclusions:
- The proposed methodology provides a structured approach to obtaining indicators for decision-making in HT incorporation.
- The integrated model enhances the management of hospital medical equipment.
- This framework supports clinical engineering in optimizing the use of health technologies.
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