Construction and application evaluation of a multi-dimensional surgical equipment management and control platform based on artificial intelligence and Internet of Things / 中国医学装备

ABSTRACT

Objective:To construct a multi-dimensional surgical equipment management and control platform based on artificial intelligence and Internet of Things(AIoT)to assist with the refinement and intelligent management medical equipment in hospital operating rooms.Methods:A multi-dimensional surgical equipment control platform based on AIoT was established by integrating the Internet of Things(IoT),big data analysis,indoor positioning technology,artificial intelligence(AI)technology and other technologies to collect real-time process data of surgical equipment such as endoscopy and electrosurgical,and to open up the relationships among information systems relating to surgical equipment,such as hospital information system(HIS),laboratory information system(LIS),radiology information system(RIS)and operation anesthesia management system(OAMS),so as to provide technical support for efficiency analysis,benefit analysis and assets management of surgical equipment.The platform was composed of 3 layers:data extraction layer,data engine layer and AI data analysis layer,including 4 functional modules:automatic data acquisition,deep data fusion,data mining and analysis and data visualization.Results:This platform was launched in Shanghai Municipal Hospital of Traditional Chinese Medicine in June 2022,and had realized achieving intelligent daily management such as indoor positioning of operating room equipment,one click inventory.A set of performance analysis method based on IoT and integrated with information systems was established to automatically count the utilization efficiency and cost-effectiveness of key surgical equipment to realize intelligent service,intelligent management,and digital operation.Conclusion:The construction and application of this platform improved the efficiency of medical equipment in operating rooms,reduced the cost and increased the efficiency,assisted in the refinement and intelligent management of hospital surgical equipment,and provided data support for scientific decision-making of hospital managers.