Subject-enabled analytics model on measurement statistics in health risk expert system for public health informatics

Chi-Jung Chung; Yu-Chen Kuo; Yun-Yu Hsieh; Tsai-Chung Li; Cheng-Chieh Lin; Wen-Miin Liang; Li-Na Liao; Chia-Ing Li; Hsueh-Chun Lin

doi:10.1016/j.ijmedinf.2017.08.011

Subject-enabled analytics model on measurement statistics in health risk expert system for public health informatics

Int J Med Inform. 2017 Nov:107:18-29. doi: 10.1016/j.ijmedinf.2017.08.011. Epub 2017 Sep 2.

Authors

Chi-Jung Chung¹, Yu-Chen Kuo², Yun-Yu Hsieh³, Tsai-Chung Li⁴, Cheng-Chieh Lin⁵, Wen-Miin Liang⁶, Li-Na Liao⁷, Chia-Ing Li⁸, Hsueh-Chun Lin⁹

Affiliations

¹ Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
² Institute of Information System and Applications, National Tsing Hua University, Hsinchu, Taiwan.
³ Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan.
⁴ Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan; Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan.
⁵ Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan; School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
⁶ Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
⁷ School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
⁸ Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
⁹ Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan; Department of Health Services Administration, College of Public Health, China Medical University, 91 Hsueh-Shih Rd., Taichung 40402, Taiwan. Electronic address: snowlin@mail.cmu.edu.tw.

PMID: 29029688
DOI: 10.1016/j.ijmedinf.2017.08.011

Abstract

Purpose: This study applied open source technology to establish a subject-enabled analytics model that can enhance measurement statistics of case studies with the public health data in cloud computing.

Methods: The infrastructure of the proposed model comprises three domains: 1) the health measurement data warehouse (HMDW) for the case study repository, 2) the self-developed modules of online health risk information statistics (HRIStat) for cloud computing, and 3) the prototype of a Web-based process automation system in statistics (PASIS) for the health risk assessment of case studies with subject-enabled evaluation. The system design employed freeware including Java applications, MySQL, and R packages to drive a health risk expert system (HRES). In the design, the HRIStat modules enforce the typical analytics methods for biomedical statistics, and the PASIS interfaces enable process automation of the HRES for cloud computing. The Web-based model supports both modes, step-by-step analysis and auto-computing process, respectively for preliminary evaluation and real time computation.

Results: The proposed model was evaluated by computing prior researches in relation to the epidemiological measurement of diseases that were caused by either heavy metal exposures in the environment or clinical complications in hospital. The simulation validity was approved by the commercial statistics software. The model was installed in a stand-alone computer and in a cloud-server workstation to verify computing performance for a data amount of more than 230K sets. Both setups reached efficiency of about 10⁵ sets per second.

Conclusions: The Web-based PASIS interface can be used for cloud computing, and the HRIStat module can be flexibly expanded with advanced subjects for measurement statistics. The analytics procedure of the HRES prototype is capable of providing assessment criteria prior to estimating the potential risk to public health.

Keywords: Health measurement data warehouse; Health risk expert system; Health risk information; Open source; Process automation; R software.

MeSH terms

Aged
Cloud Computing*
Disease*
Expert Systems*
Female
Health Status
Humans
Internet / statistics & numerical data*
Male
Models, Theoretical*
Public Health Informatics*
Software*