Personalised Geriatric Health Monitoring: The Need for Process Mining Approach

Abstract

It is common for an elder person to live alone in today’s environment, away from family care, especially during the movement control order due to the COVID-19 pandemic since 2020. This has brought to the concern of this study to justify the need for personalised geriatric health monitoring that adopts the process mining approach. Constant monitoring is deemed required in order to reduce the risk of sudden illness among the elders, as well as to reduce the need to be treated at the hospital when the capacity could be limited during critical time. As part of the findings, this paper presents the process flow of data capture on one of the four vital signs, showing the significance of time, frequency and duration in reading the data for further analysis to understand the pattern in health monitoring. The importance of process mining approach is amplified in terms of the context of time in health monitoring, and the context of personalisation due to the veracity across ageing population. This paper proposes the concept of health monitoring process model, which is produced by collectively analysing the process models of the vital signs.