2017 IoT applications in the digital medical field

Digital medical is a new type of modern medical treatment that applies modern computer technology and information technology to the whole medical process. It is the development direction and management goal of public medical care. The emergence of digital medical equipment has greatly enriched the content and capacity of medical information. Visualization of one-dimensional information, such as important electrophysiological information such as electrocardiogram (ECG) and electroencephalogram (EEG); to two-dimensional information such as CT, MRI, color Doppler, digital X-ray machine (DR) and other medical image information; In turn, three-dimensional visualization can even obtain four-dimensional information, such as a three-dimensional heart that is dynamically displayed in real time. This information has greatly enriched the doctor's diagnostic technology, making medicine into a new era of visual information. In the 2016 budget announced by the US Department of Veterans Affairs, mobile medical and digital medical care will be the focus of investment, and $1.2 billion will be invested in digital medical projects.

In 2016, we witnessed the application of the Internet of Things in the field of digital healthcare. Whether the vision of digital healthcare can be truly realized requires a convincing value argument. In many areas of digital healthcare, 2017 will be the time to prove their actual value.

In the past year, people have shown great enthusiasm for the potential of new technologies in reforming medical services. These hot words dominate the eyes of the Internet: Internet of Things, big data, crowd health, depth/machine learning, Sensor fusion and more.

Investors and entrepreneurs, with the support of venture capital, are pouring into the digital healthcare arena, delivering similar goals – better data, more comprehensive understanding, more specific advice, and a more streamlined workflow – To provide a new and affordable medical experience. Even a lot of large companies – either impressed by innovative technologies or worried about being replaced by the new wave – have invested heavily.

The telemedicine application promises to reduce expenses, improve patient access to medical services, and improve overall convenience through “mobile data rather than people”; remote monitoring applications promise to monitor dispersed patient populations and provide more detailed observations; Deep learning systems can use data streams to provide specific and personalized recommendations to patients.

Combining them together, an ideal digital medical vision is presented: key biological data is produced, collected, and preserved, and multiple data streams can be processed through deep learning algorithms, combined with population health data, patient history history Search for treatments that are already in the experimental phase or to provide specific actionable recommendations.

And 2017, will be the time to really verify that the vision can become a reality: whether this smart, systematic, semi-automated digital health care system we expect is viable.

Considering the increasingly important criteria for medical payments: the minimum total expenditure to achieve a certain therapeutic effect, this may be an important indicator of whether digital medical care is really useful. The good news is that this standard has been repeatedly mentioned in the current process of promoting "effect-based" medical reimbursement methods, and continues to be deeply rooted in the hearts of the people.

In addition to providing conclusive evidence of value, the medical service system is still concerned with the issue of “point service” or “face service”: more and more companies offer a variety of diseases or certain types of diseases. The crowd's Solution, but what doctors want to know is whether they can seamlessly connect to existing IT systems after they have chosen ABCD's various "point service" applications so that they don't have to worry about matching data or running. problem. The application of digital medical care involves the output, analysis and transfer of data. The compatibility issue is undoubtedly the first concern in the practical process. At the same time, most medical institutions have high requirements for data security and privacy protection. These are all issues that the digital healthcare industry needs to consider.

Overall, in 2017, digital healthcare will use the destructive technology already in place in other industries to bring changes to the medical industry, but given the pivotal impact of the medical industry, the requirements for this value argument will also be Higher than other industries.

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