Analysis on the Opportunities and Challenges of Medical Big Data
Although medical big data has always been the focus of attention, but the data is difficult to integrate and the organization data itself is difficult to obtain, China has been lack of effective analysis and application of clinical data, such as clinical treatment, medication, examination and various The health indicators and the patient's subsequent recovery data are logically related to the database, and the database is analyzed. It can prompt a number of important matters, such as whether the nodes in the diagnosis and treatment are logical, whether the medication and the examination are in the case of certain diseases. Reasonable, and depending on the patient's health, the probability of a critical illness in the future is large, depending on the risk, what kind of intervention is needed.
This type of data analysis has a high meaning for the payer, the servant and the product side. For payers, big data analytics can help them establish a cost-control model because big data covers more than DRG (for hospitalization) and rational drug use (for medication), including medical history, personal health data, and medical data. Therefore, it is necessary to infer whether there is waste or unreasonable application from the various medical data nodes for the system that helps establish the overall cost of medical treatment.
For the service provider, in the future, in the face of strict control of the payment side, the future will force its transformation. In the past, the service providers themselves did not have much data analysis needs, because their primary goal is to increase the amount of services, but in the future, with the strength of the payers, the service providers will focus on doing a lot of services and more reasonable use of fees. change. Big data analysis will firstly help doctors to understand the disease risks of various diseases and various situations in a more comprehensive way, and it is helpful to accumulate experience and obtain cases for doctors. At the same time, the database formed by big data analysis is of great significance for interdisciplinary treatment and training. A major problem in China's medical education is that it is too subdivided. When the treatment is too narrow, the doctor can't give a plan based on the patient's overall health status, and the cross-field cooperation is not close enough. The database formed by big data helps doctors to collaborate on the overall clinical program in multiple fields, which is beneficial to the future development from a narrow specialty to a full range of treatment.
For the product side, in the future, faced with the pressure of the payer to strictly control the price of the drug, more efforts must be placed on the efficacy and medication education. The product has the motivation to collect and analyze the clinical application of its products, patient and physician feedback, and side effects, which will help them better product development, promotion and doctor education.
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