A study of health management service design using digital twin perspectives and cognitive decision-making

Abstract

The quick development of medical technologies has resulted in the opportunities to improve patient care. Particularly, this study focused on senior health consumers. According to that, the present study suggests a novel method for managing healthcare by combining an intelligent decision-making framework with Digital Twin (DT) technologies into a patient-centered Health Management System (HMS) especially for elderly patients. The technology uses seniors’ real-time data to build effective DT of virtual duplicates that continuously monitor and reflects each person’s health profile. With the help of these DT, real-time health management and predictive analytics are made easier, which allows the system to independently recommend individualized lifestyle adjustments and treatments based on ongoing monitoring. The present study utilizes the integrated digital twin concepts. To monitor the individual patient health data in real time, local twin is used, performed based on the condition-based monitoring (CBM) modules, whereas the global twin helps to combine the data across multiple patients and allowing broader analysis. Additionally, the decision-making process is performed with the help of fuzzy inference system (FIS) based on the system’s overall production rate. Finally, the simulation of the study is performed regarding varying health conditions of patients, which improves the healthcare outcomes through decentralized data-driven approaches. A novel prototype of “Health-Pro” was developed by the inspiration of the existing study, and tested with 43 seniors with the age between 60 and 85. 80% of participants agreed that the system supported to improved health awareness and self-management. Participants stated a promising improvement in their attitude towards controlling their health. Key prerequisites for successful implementation were also observed by the study, and these include the importance of privacy controls, adjustable interfaces and social networking factors. Overall, this innovative method of managing health opens the door for more efficient, flexible healthcare options that are sensitive to each patient’s unique demands, thereby improving senior citizens’ quality of life and health results.