Based on big data technology, one day, the accuracy of the diagnosis and treatment of machines may even exceed the most famous doctors in human history. Recently, Wellpoint, the largest medical insurance company in the United States, has begun to use the IBM supercomputer "Watson" to help doctors diagnose patients' conditions and serve 70 million people. In the field of cancer treatment, it takes a month or more to develop a targeted drug treatment plan. In the future, Watson's cognitive computing technology can shorten the cycle to one day, greatly improving the cure rate of cancer patients. “Watson can help the oncology center to diagnose and analyze several complex cancer diseases in the medical and pharmaceutical industries; it can also help analyze disease risk, ensure compliance and rationality of the claims process, prevent abuse and fraud, and guarantee insurance company funds. The safety of medical institutions can also use Watson to regulate medical expenses." Liu Hong, general manager of the Medical and Life Sciences Division of IBM China Ltd., said. Medical big data With the advent of the era of big data, the informationization of the medical industry has also ushered in its own "big data era." How to shift the passive participation of patients to active health management, from single case evaluation to procedural, full-scale overall assessment and experience; from disease data management to health data management, from disputes and treatment technologies to prevention The nursing and rehabilitation links are issues that the medical industry needs to pay attention to and solve in the future. Big data is an important road. According to the data provided by IBM, Shanghai Health Information System produces 10 million pieces of data every day, has established 30 million electronic health files, and has read 100 million times a day. The total amount of information has reached 2 billion. In 2008, IBM launched the MobileFirst strategy, which specifically targets various wireless terminals and supports IOS and Android systems. Through the MobileFirst platform, APIs and related APP applications are embedded in various mobile terminal objects to collect and analyze data of these infinite terminals. The standard, universality and practicality of data is established through some small RFID-like tags of the Internet of Things. According to Liu Hong, at present, IBM has launched the BYOD system in some hospitals in Shanghai, that is, employees' self-funded terminals, which are used to improve the mobility of doctors and nurses in hospitals. In collaboration with developers, the mobile care application is launched to connect doctors and nurses' mobile terminals to the same network, so that doctors and nurses can understand the location and health of patients in the hospital, and improve the mobility of doctors and nurses. You don't need to sit in front of the computer in your office to get patient information. Another software that has been used in hospitals in China is the Real Time Asset Locater (RTAL). The inspection of various medical devices in the hospital can be achieved through a set of integrated software on the Internet of Things. For example, check the hospital bedside facility. After checking, the inspector can directly upload the server through the unlimited LAN, and let RTAL handle various data. Wearable medical From the transition from medical services to health services, you have to mention the combination of the recent “smart wearable devices†and medical care. Many developers of wearable devices are eager to try and hope to take the lead in smart healthcare. In Liu Hong's view, although the market for wearable devices and medical integration is currently very active, there are more ecological links to consider than imagined. First of all, you must have your own public cloud. “With the public cloud, we can cooperate. For example, IBM has cooperated with Capitel to launch a public cloud service for health management, and to conduct public appointments such as appointments, follow-ups, screenings, etc. in Dongcheng District, Beijing. Service." Liu Hong said. Second is the cooperation between smart wearable devices and medical institutions. Liu Hong believes that smart wearable devices can monitor the user's physical health through sensor technology, but there is no medical institution to provide professional diagnosis and analysis support behind, and even the best applications and data can not show the advantages. “Intelligent wearable devices and medical care are combined on the consumer side. I insist that this is a small market with a bright future. Compared with the general medical institutions, the smart wearable devices are more suitable for special groups. Attractive. For example, for the white-collar women's pursuit of health and beauty, the introduction of step-by-step weight loss, targeted positioning and health monitoring applications for infants and the elderly, etc., will have greater potential for future development than general medical services." Liu Hong said . He believes that at present, IBM's more cooperation is mainly concentrated in health bureaus, hospitals, pharmaceutical companies and other institutions. In the future, the consumer side should be the key development direction of IBM. Smart thermometer,best baby thermometer,forehead thermometer,ear thermometer Shenzhen Urion Technology Co., Ltd. , https://www.urionhealth.com