A Study of Smart Healthcare Service Model Based on Cloud Platform: Focus on Small and Medium Sized Hospitals

Abstract

The objective is to propose a cloud hospital information system (cHIS) to allow small and medium sized
hospitals to provide smart healthcare services and gain improved competitiveness. The research was
conducted on cloud platform-based HIS service, mobile electronic medical record (EMR) service, personal
biological record (PBR) service and healthcare big data service. Cloud computing technology was used
for the HIS service to minimize the operating cost, IoT was applied to the mobile EMR and PBR services,
and big data technology was used for the healthcare big data service to raise the efficiency in the clinical
setting. This study examined the measures for promoting the use of cloud computing technology in the
healthcare sector. If service providers can provide affordable, high-quality cloud healthcare services, such
services will become high in demand despite hindrances. Thus, the architecture and service model of the
cHIS were designed to minimize the operating costs through resource pooling achieved by virtualizing the
hardware and application programs to promote affordability. Also, CloudSim was used to assess the stability
and efficiency in relation to the data access time, service processing time and service wait time. First, the
results of the experiment showed that an increase in the cloud storage disk and network bandwidths allows
more users to be serviced. Second, it was found that the packet size had little to no impact on the system
performance. Third, it was found that cloud-based distributed storage and processing was more efficient
than using a web-based database in case of processing large amounts of data. The system presents economic
advantages including maximized sharing of resources and minimized costs, enables real-time exchange of
healthcare data, and promotes the use of collective intelligence for better healthcare services.