To be positive is self-reliance. Some of them are independent and self-reliant. To be neutral is to be responsible for it. To say pessimism is nothing to rely on. Why do the younger generation tend to hold self-reliant medical health values? You can say that it is the anti-vulnerability formed by the situation. It can also be said that the democratic nature brought about by scientific and technological progress has given everyone more autonomy.
Taking more responsibility will lead to greater freedom, and exercising more decision-making power must also be self-sufficient – ​​a subtext of self-reliance on health and wellness values. Behind the entry point of the Internet medical DIY model under the self-reliance values, the relationship between power and responsibility is infiltrated. The Arterial Network believes that it can be divided into two parts: to fill the information gap to obtain the freedom of decision-making for medical health; to self-execute health decision-making through self-control and self-management.
Free decision making: filling the information gap to gain decision-making power
Filling the information gap involves two steps: the ability to acquire information, the first step in DIY, the ability to interpret data, automated data analysis to skip doctors, and DIY self-diagnosis.
For a long time, because of the high threshold of medical health knowledge, doctors have always been in an absolute authority position, and there is no huge information between doctors and patients. The patient DIY cannot talk about it. However, technological advancement and business model innovation have begun to break this situation. Patients have largely begun to have the ability to master information and begin the first step towards freedom. The information we have included includes three types: self-health data, medical health knowledge, and other people's health experiences. Internet medical care has the following entry points based on the acquisition and interpretation of these three kinds of information:
[Personal Consumer Biosensor Hardware] Nowadays, with the development of biosensor technology, it is no longer difficult for individuals to fully understand their physical data through DIY. From the depth of sleep, the trajectory of health, the body weight of fat, the heart rate of blood pressure to the urine test, blood test, electrocardiogram, vitamin content, etc. that can only be obtained in the past, even in mental health, there is a change in mental health. Sensor technology. These biosensor technologies enter our lives in the form of wearable devices or home detectors, and strive to continue to improve in the direction of lower cost, higher accuracy, real-time continuous, convenient and non-invasive.
[Self-diagnostic applications based on automated algorithms] Many of the detected sign data are virtually meaningless until they can be interpreted. It must be analyzed and interpreted to present value, or to give a diagnosis. In the traditional mode, this work is done by a doctor. Why can a doctor do it? Because they have years of accumulated medical knowledge and clinical experience in their brains. Nowadays, based on big data, automated algorithms have been able to replace doctors in some areas for data analysis and finally make a diagnosis. For example, the ECG mobile monitoring device developed by AliveCor, previously introduced by the Arterial Network, has been approved by the FDA for the automated algorithm for analyzing the pre-existing atrial fibrillation by analyzing ECG data (see here for details). I believe that with the development of artificial intelligence and big data technology, there will be more and more automated algorithms for doctors to diagnose for us.
[Individualized intelligent medical health information] This kind of information has a long history of obtaining medical health knowledge, but the past presentation methods are not targeted, and many contents are difficult for people who have not received medical training. Nowadays, medical health knowledge has begun to develop towards intelligent, personalized and simple presentation. For example, if you fill in the symptoms, the automated system will match the possible diseases for you; enter the disease, personal medical history and other information, the system will automatically find the right medicine for you; according to personal life habits and health conditions, the user will automatically recommend the slimming diet, Health recipes, fitness programs, and more.
[Patient community sharing clinical experience] The Internet has made information sharing at your fingertips. The exchange of treatment records and medication experience among patients has become one of the DIY approaches for many patients seeking treatment. Especially for rare diseases, even professional doctors have difficulty in having enough clinical experience. Without sufficient clinical experience, there is no basis for making the best diagnosis and treatment decisions. The shared culture of the patient community platform not only provides more information for the patient itself, but even the doctor community.
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