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Reengineering the biomedical-equipment procurement process through an integrated management information system
Y G Larios1, G K Matsopoulos, D T Askounis
1Department of Electrical & Computer Engineering, National Technical University of Athens, Greece. larios@softlab.ntua.gr
Summary
This study introduces an efficient biomedical equipment procurement process for new and expanding hospitals. It streamlines expert decision-making and integrates data for better equipment selection and supplier bid evaluation.
Area of Science:
- Healthcare Management
- Biomedical Engineering
- Health Informatics
Background:
- Hospital design heavily relies on selecting appropriate biomedical equipment, impacting departmental layouts.
- Current biomedical equipment selection processes can be inefficient and lack integrated decision support.
- Demographic, social, regulatory, and international standards are crucial for optimal equipment selection.
Purpose of the Study:
- To propose a streamlined management process for procuring biomedical equipment for new or expanding hospital facilities.
- To enhance the efficiency of experts in defining equipment levels and technical specifications.
- To improve the entire biomedical equipment selection cycle, including bid evaluation.
Main Methods:
- Development of a novel, streamlined management process for biomedical equipment procurement.
- Integration of a management information system to handle data and support decision-making.
- Inclusion of all stages of the equipment selection cycle, from specification to bid evaluation.
Main Results:
- Increased efficiency for experts involved in defining biomedical equipment needs and specifications.
- Comprehensive management of the biomedical equipment selection cycle, including supplier bid assessment.
- Enhanced decision-making support and knowledge re-use through an integrated information system.
Conclusions:
- The proposed management process optimizes biomedical equipment procurement for hospitals.
- The integrated information system facilitates efficient data handling and expert decision support.
- This approach improves the selection of appropriate biomedical equipment, aligning with hospital needs and standards.