Medical data requires not only security, but also ().

Medical data requires not only safety, but also timeliness and dynamic management.

Medical data requires not only safety, but also timeliness and dynamic management. Because medical data are updated and changed every day, these data need to be updated and managed dynamically every day. When there is new data, it will be entered into the system in time, which is the management requirement of medical data.

The role of medical data

1, predicting diseases and monitoring health.

Through the observation and monitoring of patients' physical data, and then the analysis and prediction by doctors or other wise people, we can get what kind of diseases patients may get, and what means and drugs should be used to achieve intervention or treatment, so as to achieve the role of disease prevention and treatment, and let patients get more accurate medical services and health management.

2, guide the doctor to see a doctor

The role of medical data for doctors is self-evident. Doctors can know the patient's past medical history and physical condition through electronic data, and can determine the patient's health condition more quickly and accurately, and realize active intervention on the patient's physical condition through the guidance of data.

3 to guide pharmaceutical companies and institutions to develop new drugs and vaccines.

By collecting patients' medical health data, comprehensively analyzing the characteristics and curative effect data of similar patients, comparing the effectiveness of various intervention measures, finding the best treatment method, and accurately analyzing large data sets including patients' physical signs data, cost data and curative effect data, doctors can help determine the most effective and cost-effective treatment method in clinic.

In the stage of new drug research and development, data modeling and analysis are carried out based on the data set before the clinical trial stage and the data set in the early clinical stage, so as to predict the clinical results as soon as possible, so as to determine the most efficient input-output ratio and equip the best resource combination.