An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management.

	An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management.
	Zhang, Yi-fan ; Gou, Ling ; Zhou, Tian-shu ; Lin, De-nan ; Zheng, Jing ; Li, Ye ; Li, Jing-song
刊名	JOURNAL OF BIOMEDICAL INFORMATICS
	2017
文献子类	期刊论文
英文摘要	Objective: Chronic diseases are complex and persistent clinical conditions that require close collaboration among patients and health care providers in the implementation of long-term and integrated care programs. However, current solutions focus partially on intensive interventions at hospitals rather than on continuous and personalized chronic disease management. This study aims to fill this gap by providing computerized clinical decision support during follow-up assessments of chronically ill patients at home. Methods: We proposed an ontology-based framework to integrate patient data, medical domain knowledge, and patient assessment criteria for chronic disease patient follow-up assessments. A clinical decision support system was developed to implement this framework for automatic selection and adaptation of standard assessment protocols to suit patient personal conditions. We evaluated our method in the case study of type 2 diabetic patient follow-up assessments. Results: The proposed framework was instantiated using real data from 115,477 follow-up assessment records of 36,162 type 2 diabetic patients. Standard evaluation criteria were automatically selected and adapted to the particularities of each patient. Assessment results were generated as a general typing of patient overall condition and detailed scoring for each criterion, providing important indicators to the case manager about possible inappropriate judgments, in addition to raising patient awareness of their disease control outcomes. Using historical data as the gold standard, our system achieved a rate of accuracy of 99.93% and completeness of 95.00%. Conclusions: This study contributes to improving the accessibility, efficiency and quality of current patient follow-up services. It also provides a generic approach to knowledge sharing and reuse for patient-centered chronic disease management.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12630]
专题	深圳先进技术研究院_数字所
作者单位	JOURNAL OF BIOMEDICAL INFORMATICS
推荐引用方式 GB/T 7714	Zhang, Yi-fan , Gou, Ling , Zhou, Tian-shu ,et al. An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management.[J]. JOURNAL OF BIOMEDICAL INFORMATICS,2017.
APA	Zhang, Yi-fan ., Gou, Ling ., Zhou, Tian-shu ., Lin, De-nan ., Zheng, Jing .,...& Li, Jing-song.(2017).An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management..JOURNAL OF BIOMEDICAL INFORMATICS.
MLA	Zhang, Yi-fan ,et al."An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management.".JOURNAL OF BIOMEDICAL INFORMATICS (2017).