Design and Implementation of Behavior Analysis and Risk Identification for Stroke Patients under Medical Technology Intelligentization.

Abstract

This study aimed to explore behavior analysis and risk identification for stroke patients under medical technology intelligentization, to establish a design and implementation of risk control and post-event recovery. A total of 80 stroke patients from 2019 to 2021 were selected using service design thinking combined with patient behavior as the guiding principle. The study used smart device monitoring modules and balance monitoring applications to monitor the daily behavior and post-event behavior of stroke patients and used intelligent recognition and analysis of risk behavior to develop interventions for post-event recovery services. The conclusion is that by combining service design thinking with patient behavior as the guiding principle, medical technology advancements in the field of intelligentization have the potential to greatly impact stroke patient care by enabling behavior analysis and risk identification. By utilizing smart device monitoring modules and balance monitoring applications, healthcare professionals can gather valuable data to understand better the behaviors and risks associated with stroke patients. This approach can provide a forward-looking reminder for risky behaviors and intervene in stroke patients' behaviors, reducing the risk of stroke recurrence.