AI慢病管理系统-多病共管

AI慢病管理系统-多病共管是一套旨在协助基层医疗机构精准识别区域内慢病患者，并提供标准化、连续性慢病管理服务的数字化系统。
通过标准化路径整合医疗与公卫服务，辅助基层医疗机构为患者提供同质化、连续性的慢病管理服务。满足了基层医疗机构慢病一体化门诊的建设要求，实现医防融合慢病管理。
重点功能包含：
同时对接公卫和his数据，建立动态更新的慢病患者专库，借助算法自动筛查各病高危或待管患者，精准定位目标人群，大幅降低机构患者筛查成本。
将慢病管理细分为诊前、诊中、诊后各个管理节点，通过清单式的标准路径来规范诊疗行为。
诊前智能分流，可对接智能测量设备，实时采集体征数据。诊间依据指南要求，提示必做、选做的检验检查项目，内置算法输出辅助临床决策。
诊间可以快捷完成高血压、糖尿病随访任务，也可以对其他慢病进行随访以及体重管理方案制定，系统自动抓取诊前数据填充，并且支持合并随访模式。
根据患者真实数据，自动生成个性化健康处方和评估报告，为患者提供更具操作性的建议。
诊后支持通过算法识别检查项目异常及转诊条件，自动生成追溯与转诊任务，助医生及时发现患者异常，推动分级诊疗。

The AI Chronic Disease Management System - Multi-morbidity Management is a digital system designed to help primary care facilities accurately identify chronic disease patients in the region and provide standardized, continuous chronic disease management services.
It integrates medical and public health services through standardized pathways, assisting primary care facilities in providing homogeneous and continuous chronic disease management services for patients. It meets the construction requirements of integrated chronic disease clinics in primary care facilities, and realizes chronic disease management integrating medical care and disease prevention.
Key functions include:
1. Simultaneously connect public health and Hospital Information System (HIS) data to build a dynamically updated dedicated chronic disease patient database. Automatically screen high-risk or under-management patients of various diseases via algorithms, accurately locate the target population, and greatly reduce the patient screening cost of medical institutions.
2. Divide chronic disease management into multiple management nodes including pre-consultation, in-consultation and post-consultation, and standardize medical practice through checklist-based standardized pathways.
3. Pre-consultation intelligent triage: connect to intelligent measuring devices to collect vital signs data in real time. During consultation, prompt mandatory and optional laboratory and examination items in accordance with clinical guidelines, and output clinical decision assistance via built-in algorithms.
4. During consultation, users can quickly complete follow-up tasks for hypertension and diabetes, as well as conduct follow-up for other chronic diseases and formulate weight management plans. The system automatically extracts and fills in pre-consultation data, and supports combined follow-up mode.
5. Generate personalized health prescriptions and assessment reports automatically based on patients' real data, providing patients with more actionable recommendations.
6. Post-consultation support: identify abnormal examination items and referral criteria via algorithms, automatically generate follow-up and referral tasks, help doctors detect patient abnormalities in a timely manner, and promote hierarchical medical treatment.

搜集汇总

背景与挑战

背景概述

该数据集描述了一个AI慢病管理系统，旨在帮助基层医疗机构实现多病共管的慢病管理。系统通过整合公卫和医疗数据，利用算法自动筛查高危患者，并提供标准化、连续性的管理服务，覆盖诊前、诊中、诊后全流程，以提升管理效率和医疗质量。