Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform

Author:

Lee Hee Young12ORCID,Lee Kang Hyun1,Lee Kyu Hee2,Erdenbayar Urtnasan2,Hwang Sangwon2,Lee Eun Young2,Lee Jung Hun1,Kim Hee Jin1,Park Sung Bin3,Park Joon Wook3,Chung Tae Yun4,Kim Tae Hyoung4,Youk Hyun12

Affiliation:

1. Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea

2. Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea

3. Digital Healthcare Team, Corporate Support Division, Wonju Medical Industry Technovalley, Wonju, Republic of Korea

4. Open Platform Team, Platform Research Department, Gangwon Research Institute of ICT Convergence, Wonju, Republic of Korea

Abstract

The aim of this study was to introduce the implemented MEDBIZ platform based on the internet of medical things (IoMT) supporting real-time digital health services for precision medicine. In addition, we demonstrated four empirical studies of the digital health ecosystem that could provide real-time healthcare services based on IoMT using real-world data from in-hospital and out-hospital patients. Implemented MEDBIZ platform based on the IoMT devices and big data to provide digital healthcare services to the enterprise and users. The big data platform is consisting of four main components: IoMT, core, analytics, and services. Among the implemented MEDBIZ platform, we performed four clinical trials that designed monitoring services related to chronic obstructive pulmonary disease, metabolic syndrome, arrhythmia, and diabetes mellitus. Of the four empirical studies on monitoring services, two had been completed and the rest were still in progress. In the metabolic syndrome monitoring service, two studies were reported. One was reported that intervention components, especially wearable devices and mobile apps, made systolic blood pressure, diastolic blood pressure, waist circumference, and glycosylated hemoglobin decrease after 6 months. Another one was presented that increasing high-density lipoprotein cholesterol and triglyceride levels were prevented in participants with the pre-metabolic syndrome. Also, self-care using healthcare devices might help prevent and manage metabolic syndrome. In the arrhythmia monitoring service, during the real-time monitoring of vital signs remotely at the monitoring center, 318 (15.9%) general hikers found abnormal signals, and 296 (93.1%) people were recommended for treatment. We demonstrated the implemented MEDBIZ platform based on IoMT supporting digital healthcare services by acquiring real-world data for getting real-world evidence. And then through this platform, we were developing software as a medical device, digital therapeutics, and digital healthcare services, and contributing to the development of the digital health ecosystem.

Funder

Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare

Ministry of Trade, Industry & Energy (MOTIE), Korea Institute for Advancement of Technology (KIAT) through the Next-generation Life and Health Industrial Ecosystem Creation Project

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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