The core tasks of the national “Twelfth Five-Year Plan†construction clearly pointed out that it is necessary to establish a national electronic health record, a national electronic medical record, and a population health information. These basic information and data are scattered in various medical institutions such as hospitals, medical examination centers, health centers, and maternal and child health centers. With the acceleration of the process of medical and health information construction, the types and scale of medical data are also growing. If these data are used properly, according to a recent report from McKinsey, a global management consulting firm, healthcare organizations and consumers can save up to $450 billion in cost if they can make full and effective use of big data resources in healthcare. . It is understood that Ruisoft Technology has been deeply involved in this big data industry for 11 years. It has also experienced the difficult start of “three years without openingâ€. Now it serves 6 provinces, 30 local health planning committees, and more than 1,000 hospitals. With more than 200 mainstream medical vendors' business system data templates, the medical and health industry has sparked. Source of data generation So how do these medical big data come into being? Li Weiqiang, president of Ruisoft Technology, told reporters that medical data mainly appears in the following aspects: First, the information generated during the patient's medical treatment. From the time the patient enters the hospital, the registration number will enter the personal name, age, address, telephone number and other information; then, in the doctor's medical treatment, the patient's physical condition, medical images and other information will also be entered into the database; after the end of the medical treatment, During the process of paying the bill, the patient will add information such as cost information, reimbursement information, and medical insurance usage to the hospital's large database. This will form the most basic but the largest source of medical big data. Second, clinical medical research and laboratory data. The integration of clinical and laboratory data makes the data growth of medical institutions very fast, with a normal CT image containing approximately 150 MB of data and a standard pathology map approaching 5 GB. If you multiply these amounts of data by population size and average lifespan, only one community hospital can accumulate data in the amount of trillions of bytes or even petabytes (PB). Big, multiple, fast medical big data In addition, medical big data formed by such large-scale clinical experimental data, disease diagnosis data, and resident behavioral health data have already presented their characteristics as big data, namely: A. The data size is large. For example, a CT image contains approximately 150 MB of data, while a genomic sequence file size is approximately 750 MB, and a standard pathology map is much larger, approaching 5 GB. Lock Defender,Defender Door Locks,Door Defender Lock,Door Lock Defender Zhejiang Tilanco Industry&Trade Group Co., Ltd , https://www.tilancogroup.com.png)
Ruisoft Technology has been deeply involved in the medical big data industry for 11 years: only one kilometer away from the realization