Application of health portraits in COPD personalized health management system(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第7期
- Page:
- 918-926
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- Application of health portraits in COPD personalized health management system
- Author(s):
- LIU Li1; ZHU Xunmei1; LI Jun2; CHEN Xianlai3; ZHOU Yukui1; AN Ying3; LI Zhongmin1
- 1. School of Life Sciences, Central South University, Changsha 410013, China 2. Xiangya School of Stomatology, Central South University, Changsha 410008, China 3. Institute of Information Security and Big Data, Central South University, Changsha 410083, China
- Keywords:
- Keywords: chronic obstructive pulmonary disease personalized health portrait health management management system
- PACS:
- R319
- DOI:
- DOI:10.3969/j.issn.1005-202X.2020.07.023
- Abstract:
- Abstract: Objective To explore the application of personalized health portraits in chronic disease health management. Taking chronic obstructive pulmonary disease (COPD) as an example, the health portrait model for COPD patients is developed, and a personalized health management system is designed based on the model. Methods Knowledge-based label extraction technology combined with electronic medical record data mining was used to construct the health portrait model. Based on the model and according to Global Initiative for Chronic Obstructive Lung Disease, the evaluation method, drug recommendation algorithm and personalized health recommendations for COPD were determined. Finally, a COPD personalized health management system was developed based on .NET platform and C/S structure of SQL technology. Results From the two dimensions of the patient and the disease, patient group portrait model and personalized health portrait model were constructed, and a COPD management system was developed. The patient group portrait model included patients personal information, diagnostic information, complications, medication data and hospitalization, while the personalized health portrait model contained patients general information, main clinical manifestations, inspection results, diagnostic records, treatment records, and disease-related factors. The developed COPD management system which was led by patients, with the participation of doctors, comprehensively displayed both the group portraits of all patients and personalized health portraits, and then conducted personalized health assessment and recommendation. Conclusion The patient health portrait model can provide data support for the diagnosis, evaluation, treatment, disease monitoring, disease prognosis and management of COPD. The COPD health management system developed based on the health portraits of COPD patients can satisfy the personalized needs of patients and is proved to be a practical health management platform for patients with COPD in stable phase.
Last Update: 2020-07-28