Design and development of an AI-based smart care platform for patients with mild cognitive impairment

LYU Mengyan; SUN Qianbo; CAI Jiaying; WEI Lihua

doi:10.12102/j.issn.1009-6493.2026.06.012

Abstract：Objective:To design and develop a smart care platform for patients with mild cognitive impairment(MCI)that integrates artificial intelligence(AI)technologies.Methods:A total of 554 MCI patients and their family caregivers were recruited from three community health service centers in Liuzhou city,Guangxi Zhuang Autonomous Region from January 2022 to June 2024.Semi-structured interviews were conducted to clarify the functional requirements of the platform.The platform was developed using speech recognition,data analysis,and personalized recommendation technologies,which integrated functions such as intelligent schedule management,health monitoring,cognitive training,and data sharing.Patients'care compliance,cognitive training completion rates,occurrence of forgetfulness events,nursing information documentation completeness,and incidents of wandering or sudden health events before and after using the smart care platform were evaluated.Caregivers'care burden,anxiety levels,and the burden of high care workload before and after using the platform were evaluated.Results:After using the platform,MCI patients showed higher care compliance,cognitive training completion rates,and nursing information record integrity,while experiencing lower incidence of memory lapse events,wandering or sudden health incidents compared to before platform use.Family caregivers demonstrated lower care burden scores,anxiety levels,and proportion reporting high care workload after platform use(P<0.001).Conclusions:The smart care platform can provide personalized and continuous intelligent care support for MCI patients.It contributes to improve care service quality and keep better maintenance of patients'functional levels.