实施案例
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智能慢病管理系统CDSS系统
- 2023-04-17
- //qdclab.com/ 原创
- 130
Chronic disease CDSS is a comprehensive intelligent decision support platform for the prevention, diagnosis, treatment, management, and health of chronic diseases. It effectively integrates clinical medical knowledge, expert experience, and deep learning models to assist doctors in controlling chronic disease patients throughout the entire process, improving diagnosis and treatment levels and efficiency, improving residents' health levels, and reasonably reducing medical insurance costs
功能介绍
Function Introduction
转诊建议
Referral suggestions
自动抓取病史及检查检验信息,智能识别基层处置范围之外的慢病并发症等危重情况,并出转诊信息,提示基层医生进行迅速合理的向上转诊操作
Automatically capture medical history and examination and testing information, intelligently identify critical situations such as chronic disease complications outside the scope of grassroots treatment, and recommend referral information, prompting grassroots doctors to quickly and reasonably carry out upward referral operations
辅助诊断
Auxiliary diagnosis
基于大临床经验和大量临床诊疗数据结合的深度学习模型,针对患者病史,智能推出诊断提示,圈定疑似疾病,辅助医生进行精细化诊断
Based on the clinical experience of major experts and a large amount of clinical diagnosis and treatment data, a deep learning model is developed to intelligently launch diagnostic prompts for patients' medical history, delineate suspected diseases, and assist doctors in fine diagnosis
合理性建议
Reasonable suggestions
根据患者病情给出个性化检查检验建议,提升检查检验项目的合理性
Provide personalized examination and testing suggestions based on the patient's condition to enhance the rationality of examination and testing items
病情严重程度评估
Assessment of the severity of the condition
自动获取评估信息,在医生有需要时提供标准化疾病评估路径,帮助医生更好地进行病情分层
Automatically obtain assessment information and provide standardized disease assessment pathways when needed by doctors, helping them better stratify their conditions
方案
Recommended treatment plan
基于临床指南诊疗路径,自动融合患者病情体征,及用药史、过敏史、既往史等信息,个体化给出专病方案建议,辅助医生进行个体化
Based on clinical guidelines for diagnosis and treatment pathways, automatically integrate patient's condition and physical signs, as well as medication history, allergy history, past history, and other information, provide personalized recommendations for specialized disease treatment plans, and assist doctors in personalized treatment
个体化健康处方
Individualized health prescription
根据患者的慢病分级评估结果,智能患者的个体化管理方案,包括随访、用药、运动、饮食、健康教育内容
Based on the patient's chronic disease grading evaluation results, intelligently recommend personalized management plans for patients, including follow-up, medication, exercise, diet, and health education content
智能随访管理
Intelligent follow-up management
用户个体化方案确定后,会自动生成随访任务,可以在患者列表,患者管理首页以及随访任务列表,进入随访上报管理。支持随访异常提示和随访记录查看。
After the user personalization plan is determined, follow-up tasks will be automatically generated, which can be accessed in the patient list, patient management homepage, and follow-up task list to enter follow-up report management. Support for abnormal follow-up prompts and viewing follow-up records.
统计报表
Statistical report
体系化慢病管理统计报表,可支持当前慢病系统中患者总人数、各病种人数以及占比、各病种不同病情等级患者比例、各病种管控率和达标率
Systematic chronic disease management statistical report, which can support the total number of patients in the current chronic disease system, the number and proportion of each disease type, the proportion of patients with different disease levels, the control rate and compliance rate of each disease type
产品优势
Product advantages
慢病管理新模式
New mode of chronic disease management
以数据智能服务+家庭可穿戴设备为依托,线上线下联动,实现智能化全流程管控,构建“三师共管”的慢病管理新模式
Relying on data intelligence services and home wearable devices, with online and offline linkage, achieving intelligent full process control, and building a new model of chronic disease management with "three teachers' joint management"