A review of observability issues in hospital information system

Abstract

Observability is an important property of complex system. Achieving good system observability can help reveal information about the system's state and structure, providing great convenience to the operation and maintenance of the system. Moreover, observability makes the system more efficient in performance management, troubleshooting and updating. Observability means better user experience, less burden of operation and maintenance, and it helps save cost of dealing with system failures. The implementation and optimization of system observability in different scenarios have been heated topics since the concept was introduced. Importantly, hospital information system(HIS) is an infrastructure in the operation of modern public health institutions. HIS has many functions such as hospital management, patient medical information management and decision-making. Therefore, maintaining the normal and stable operation of HIS has far-reaching social and livelihood significance. In this paper, we take HIS as a scenario and discuss the issues related to the implementation of observability in HIS based on Artificial Intelligence for IT Operations(AIOps) and microservices architecture(MSA) by searching and summarizing different dimensions of the literature. In addition, focusing on some specific applications and service scenarios we analyze the potential observability requirements and provide possible solution ideas.