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Opportunities and trends of medical data research
2018-4-28
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clicks:  1379        作者:未知
  • Opportunities and trends of medical data research
    With the development of information society, big data has become a strategic resource as important as natural resources. The medical field produces a lot of data every day, not by TB or by PB. To this end, the widespread development of medical data has become a realistic demand for hospitals to facilitate patients.

    Big data has become the source of new invention and new technology. The medical industry is an important field of large data applications, and Kayyali B and others have proposed that big data will have an important impact on the American medical industry, and many potential values are being gradually revealed and revealed. Zou Hecuo, a domestic scholar, puts forward that big data will cause "creative destruction" to the whole medical system, including management and diagnosis. The "damage" may come from medical clinical diagnostic data, such as medical imaging, medical record statistics, inspection, diagnosis and treatment costs, and may also come from drug development, epidemiological investigation, pathogenesis, physiological and pathological changes and so on. How to better develop and make use of huge medical data has become the focus of attention.

    The necessity of large medical data for medical research

    Whether it is disease treatment, clinical effectiveness research, new drug research and development, or basic medicine, medicine and health, all involve data acquisition, management and analysis. How to efficiently use modern medical information to obtain the data people need is the key to the success or failure of modern medicine research. At present, although the medical service system of our country is large, there are still the following problems: the shortage of high quality resources, the complicated patient's condition, the high cost of medical treatment and the great intensity of the doctor's work.

    However, the research and application of medical data can make up and solve the above problems: (1) improve the accuracy of diagnosis in time. Doctors can make diagnosis as soon as possible with the data of intercommunication between hospitals, combined with the patient's specific health and past medical history, and allow patients to participate in the whole process of medical treatment; (2) reduce the contradiction between doctors and patients. Medical services based on large health data provide a new medical model, that is, to obtain patient specific disease pathways through large data statistics or using accurate biomedical data, and to guide patients in groups according to the channels to make patients get effective treatment; (3) medical resources. Through the big data to optimize the treatment plan of patients, avoid duplication of diagnosis and treatment; (4) improve the quality of medical treatment. Through the effective integration of the data, it ensures the effective use of good medical technology, meets the requirements of personalized medical service, keeps the continuous inertia and timeliness of medical services, and promotes the changes in medical research, clinical decision-making, disease management and medical and health decision-making.

    How to make good use of large medical data

    At present, due to the explosive growth of medical data and the increase of semi-structured and unstructured data, it is difficult to standardize and standardize management to a great extent. For this reason, medical and health institutions need to be controlled from macro level, top-level design and perfect norms, standards and systems. Only through the effective integration of scattered and confused data from the source, standardization and standardization can be carried out fundamentally, so that the great value and function of the medical data can be truly played.

    Because of the fragmentation of the state administrative system and the uneven vertical management, the management of medical data is confused and lack of overall arrangement, and the situation of the medical institutions in the use of large data has formed a single fight and self governance, and the data of the data island is more common. In order to solve this problem, it is necessary to break the normal mode of thinking, vigorously promote medical data sharing, lead by the Department of health administration, do a good job of adjustment and layout, solve technical problems, legislate as soon as possible, and prevent and avoid the occurrence of data isolated island phenomenon.

    Development trend

    (1) from "concept" to "value". The large number of medical data related to people's life and health, affecting the well-being of the society, using informatics to influence medical practice and ultimately to achieve the health of the population, this point will eventually be recognized by people, and its value will be gradually embodied in society.

    (2) medical big data promote and improve evidence-based medicine. Medical big data can help the production of scientific evidence in evidence based medicine, and reliable evidence can be obtained by integrating large amounts of health data through big data. At the same time, we can also improve the production evidence of "virtual clinical trial" through real-time data on the Internet.

    expectation

    Medical large data has a broad prospect of development, which is a hot and emerging field across many disciplines, such as biomedicine, psychology, informatics, network science, system science and so on. How to make it better regulated, managed and shared is a major topic of future research. In addition, we should also do some predictive work combined with clinical practice to give full play to the advantages of big medical data. Only firmly grasp this point, solve the major problems faced by the medical large data research, change the development mode of medical practice, and finally realize the purpose of individualized treatment and group prevention.

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