老年常见病一体化监测平台建设与应用探索

Construction and application exploration of an integrated monitoring platform for common geriatric diseases

目的:通过智能技术应用辅助老年常见病的监测、治疗和研究,以解决人口老龄化进程加速带来的老年医疗问题。方法:借助医疗物联网智能设备实时监测并整合老年人的必要院外健康数据,形成老年常见病健康数据采集的闭环,建立了老年常见病一体化云监测平台和多维健康数据中心平台。结合大数据治理技术和人工智能技术,探索老年病临床智能推荐决策模型研究。结果:一体化云监测平台已在部分医院试点应用,同时初步建成老年常见病多维健康数据中心平台,有效弥补了以往老年健康数据中心的不足。利用22万余份老年健康数据和医院临床知识库,构建了老年常见病知识图谱,并初步形成了临床智能推荐决策规则引擎;基于知识图谱、智能规则引擎和智能推荐决策模型,借助CDSS的集成应用初步实现老年常见病临床智能推荐决策支持。结论:本次探索在促进区域老年医学信息化、分级诊疗、临床决策支持和慢病管理等方面有积极影响。

Objective To assist the monitoring,treatment and research of common geriatric diseases through applying intelligent technology,so as to solve the geriatric medical problems brought about by the accelerated aging population.Methods With the help of medical Internet of Things(IoT)smart devices,the necessary out-of-hospital health data of the elderly was monitored and integrated in real time,and a closed-loop health data collection for common geriatric diseases was formed.An integrated cloud monitoring platform for common geriatric diseases and a multidimensional health data center platform was established.Based on big data governance technology and AI technology,the research of clinical intelligent recommendation decision-making model for geriatric diseases was carried out.Results The integrated cloud monitoring platform has been applied in some hospitals on a pilot basis,while the multi-dimensional health data center platform for common geriatric diseases has been initially built,effectively making up for the shortcomings of the previous geriatric health data center.Using more than 220,000 geriatric health data and hospital clinical knowledge base,a knowledge map of common geriatric diseases was constructed and a clinical intelligent recommendation decision-making rule engine was initially formed.Based on the knowledge map,the intelligent rule engine and intelligent recommendation decision-making model,clinical intelligent recommendation decision-making support for common geriatric diseases were realized with the help of the integrated application of CDSS.Conclusion This study has a positive impact on promoting regional geriatrics IT application,hierarchical diagnosis and treatment,clinical decision-making support and chronic disease management.