Design and Application of an Intelligent Real-time Treatment Path Recommendation System Based on Hospital Big Data
10.3969/j.issn.1673-6036.2024.10.017
- VernacularTitle:基于医院大数据的智能就诊路径实时推荐系统设计与应用
- Author:
Hongjian JIANG
1
;
Jianchao CHEN
Author Information
1. 江门市五邑中医院 江门 529099
- Keywords:
treatment time;
path recommendation;
treatment experience;
smart hospital
- From:
Journal of Medical Informatics
2024;45(10):90-97
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To optimize the patient's treatment process,to shorten the treatment time and moving path in the hospital,to help patients predict the time of each treatment process.Method/Process Based on graph theory and machine learning algo-rithm model,the intelligent treatment path recommendation model is constructed by integrating data information such as hospital spatial layout,diagnosis and treatment department distribution and patient treatment items.Based on the big data of hospital patients,the pre-diction model of patient treatment time is constructed to predict the time spent in registration,waiting for treatment or examination,etc.A real-time recommendation system for intelligent treatment paths is designed and implemented to provide patients with clear guidance and more accurate time-consuming estimation services.Result/Conclusion The intelligent real-time treatment path recommendation system integrates the capability of treatment time prediction and path recommendation,which significantly improves the treatment experi-ence of patients and the service efficiency of hospitals.
