Hospitals need to ensure that all laboratory equipment could support disease diagnosis, disease healing, and health restoration. Delay in equipment maintenance can cause harm to patients (patient services) and the hospital. Until now, the hospital is still experiencing difficulties in monitoring equipment performance. This study aims to design the selection of Internet of Things technology to improve laboratory equipment maintenance performance. The Fuzzy Analytic Hierarchy Process (F-AHP) method is used to weigh the factors for the application of maintenance technology, and the Additive Ratio Assessment (ARAS) method is conducted to rank the proposed maintenance technology in the laboratory. This research results four priority for alternative internet of things technology in the maintenance of a laboratory unit in one of Jakarta's private hospitals.
An Analysis of Internet of Things Technology Selection for Hospital Laboratory Maintenance
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