Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform.
Hee-Young LeeKang Hyun LeeKyu Hee LeeUrtnasan ErdenbayarSangwon HwangEun Young LeeJung Hun LeeHee Jin KimSung Bin ParkJoon Wook ParkTae Yun ChungTae Hyoung KimHyun YoukPublished in: Digital health (2023)
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.
Keyphrases
- healthcare
- big data
- metabolic syndrome
- blood pressure
- artificial intelligence
- high throughput
- machine learning
- chronic obstructive pulmonary disease
- health information
- clinical trial
- mental health
- insulin resistance
- body mass index
- randomized controlled trial
- left ventricular
- primary care
- hypertensive patients
- climate change
- heart failure
- prognostic factors
- heart rate
- uric acid
- case control
- small molecule
- public health
- body weight
- air pollution
- type diabetes
- cystic fibrosis
- patient reported outcomes
- blood glucose
- open label
- health insurance
- human health