# Empowering Clinical Engineering and Evidence-Based Maintenance with IoT and Indoor Navigation +
## 6 Conclusions  
The primary objective of the OHIO project is to enhance the management capabilities of a large pilot hospital, specifically the \"Le Scotte\" hospital in Siena, Italy, with a focus on clinical engineering and logistics. This involves augmenting the existing CAFM system (SPOT) and the IPS mobile application (HiWay) to improve the effectiveness of maintenance activities through the integration of established software, newly designed advanced interfaces, and seamless information sharing through the ODIN platform. The research provides CE services with a novel set of tools that aims to increase equipment reliability, reduce downtime, and mitigate failures. These efforts help provide a safer, more efficient, and higher-quality healthcare environment for both patients and healthcare providers. The designed IoT framework revealed significant outcomes regarding the improvements of SM activities for the analyzed medical equipment. The proposed failure codes and the list of KPIs offer a structured, standardized, and measurable approach for data collection and analysis, promoting the adoption of EBM practices in CE services and expanding the informative content of CMMS software by allowing for an immediate classification of maintenance interventions. The impact assessments based on KPIs and usability post-test questionnaires indicate promising results in improving the effectiveness of the SM while offering simple and intuitive GUIs. This underscores the project's capacity to positively influence hospital and SM operations by addressing previously unmet needs. The solution outlined by the OHIO Project not only represents a significant innovation in the field of clinical engineering and provides valuable insights into the maintenance of specific medical devices, but also offers a flexible and transferable framework that can be applied to a wide range of healthcare environments and equipment categories.  
Conceptualization, E.I. and A.L.; methodology, E.I. and A.L.; software, A.L.; validation, E.I., G.G. and V.M.; formal analysis, E.I. and A.L.; investigation, E.I., G.L.D. and A.L.; resources, G.L.D., G.G. and V.M.; data curation, E.I., G.L.D., V.M. and A.L.; writing--original draft preparation, E.I. and A.L.; writing--review and editing, E.I. and A.L.; visualization, A.L.; supervision, E.I.; project administration, E.I.; funding acquisition, E.I. All authors have read and agreed to the published version of the manuscript.  
This research has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 101017331. Available online: [[https://cordis.europa.eu/project/id/101017331](https://cordis.europa.eu/project/id/101017331)]([https://cordis.europa.eu/project/id/101017331](https://cordis.europa.eu/project/id/101017331)) (accessed on 18 June 2024).  
The data presented in this study are available on request from the corresponding author due to privacy restrictions.  
The authors declare no conflicts of interest.  
The following abbreviations are used in this manuscript:  
\begin{tabular}{l l} AI & Artificial Intelligence \\ AOUS & Azienda Ospedaliero-Universitaria Senese \\ API & Application Programming Interface \\ BLE & Bluetooth Low Energy \\ BMET & Biomedical Technician \\ CAFM & Computer-Aided Facility Management \\ CE & Clinical Engineering \\ CM & Corrective Maintenance \\ CMMS & Computerized Maintenance Management System \\ \end{tabular}