With the continuous expansion of Internet-scale, big data is changing in this era of vast part of the industry or business, the medical industry is no exception, health care is becoming the key issues of concern to intelligent, digital features into medical information technology is booming, the medical industry are changing the data type of the massive, complex, and diverse types of ways. Healthcare big data as an important basis for strategic resources of the country, but also by the government and enterprises attach great importance, hospitals and other industry-related personnel. How to get to the field of medical industry and convenient management and use of vast amounts of big data?
Next, we look at concrete, specific application of Big Data technologies in the field of medical industry and what value? How Hadoop Big Data platform for the medical industry to help Internet-cost, efficient implementation of large quantities of data were a collection, storage, computation, analysis, real-time monitoring it?
1. The electronic management of medical data
Collection of electronic medical records, including personal medical history, family history, allergies and all medical test results and the like. In information sharing system, each physician will be able to add or change records in the system, without having to be done by the time-consuming paper work. These records can also help patients take control of their drug use, but also an important reference data for medical research.
2. Health forecast
By data and other smart watches wearable devices, the establishment of health forecasting model, continuing to collect health data through these wearable device and stored in the cloud, reporting real-time health of the patient. Millions of people apply to their prediction and analysis of various diseases, and clinical trials in the future will no longer be confined to a small sample, but includes everyone.
3. medical imaging and clinical diagnostics
By making big data to identify robot remember all kinds of massive medical imaging, such as a variety of image X-rays, magnetic resonance imaging, ultrasound ...... and so on. A large number of records the depth of excavation and study, training diagnosis of the film, and ultimately assist physicians in clinical decision-making, standard treatment path, improve the efficiency of doctors.
4. Pharmaceutical R & D
Data with a large data modeling and analysis, drug predict clinical outcome, may be provided with reference to the experimental results of clinical stage, time-saving and optimization of the clinical phase clinical laboratory results. Pharmaceutical companies can also be analyzed by a data modeling, thus producing a higher treatment success rate of drugs and greatly shorten the drug development from to time to market.
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