Recently, I participated in the Intelligent Healthcare Forum, which involved IBM talking about cognitive computing solutions for analyzing medical images, the relationship between wearable devices and healthcare...and other topics, and I also participated in the establishment of the HIOT Health Internet of Things Industry-Academia-Medical Research Alliance run by the Taipei Medical University on the day of the event, as well as the Smart City of Smart Health seminar that I participated in at the end of last year. The seminar, as well as the high medical on long-term care positive, can be seen in Taiwan's medical community recently on Taiwan's health care Internet of Things positive degree, growth and progress is a good thing.

Doctors in Taiwan, because they are the best people in the country to work in the profession, are of course very good at what they do, and tend to be very up-to-date with the latest information and medical technology. However, Taiwan's healthcare billing method, the more frequent the more money, resulting in medical staff too busy, the burden is too much, but also a fact. If we can do a better job of preventive medicine through wearable devices and cognitive technology to enhance the medical effect (e.g., the correct rate of judgment of disease), we can reduce the burden on medical staff, and the medical staff will have more time to strengthen the medical related technology, which is a great positive cycle.

In these formal seminars and private communications with medical professionals, I have found that Taiwan's local wearable devices are beginning to develop in collaboration with the medical community in the hope of making products that will help people be healthier; however, I have also found that the quality of the physiological data collected by the more popular smartwatch bracelets is not good enough, and that even if they are able to measure the quality of the intimate apparel, men may be able to measure the quality of the apparel because of the small size of the abdomen, but they may not be able to do so because of the high quality of the apparel. The newest addition to the lineup is a new, more compact design that allows for a more efficient use of the data, and a more efficient use of the data. But after all, the number of people in Taiwan is small, and it is difficult to rely on each hospital system to do its own thing if the healthcare information is to become a good enough big data model. And Taiwan's oldest and large enough health insurance data is far from being open for use because of privacy issues. I was told by medical professionals that health insurance data may only be available from larger hospitals to meet demand; however, it is old enough to be relatively valuable for estimating chronic disease data, which is now Taiwan's best advantage in competing with the rest of the world, especially in Asia.

All of the above are dilemmas for Taiwan's medical IoT, but at least the hospital systems have actively begun, however, the next step is to form a good enough big data model and AI learning model through machine learning, and it seems that there is still a long way to go to overcome this.

. FB Fan Group: Rich's Innovation Paradise - R&D Innovation Coach Pei Youheng's Communication Page

FB Internet of Things Club: iNetwork (Intelligent, Innovative, and Personalized Internet of Everything)

<This column reflects the opinions of experts, and does not represent the position of this club>

Utilizing IoT Devices and Big Data to Achieve Long-Term Care 2.0