Current Status and Future of Medical Big Data Analysis

The application of big data analysis and mining in the medical field contains many directions, such as comparative effect research of clinical operations, clinical decision support systems, transparency of medical data, remote patient monitoring, advanced analysis of patient files; clinical trial data analysis, personality Chemical treatment, analysis of disease patterns, etc .; as well as patient clinical records and medical insurance data sets.

The application of big data analysis and mining technology can help the medical industry to increase productivity, improve the level of care, and enhance competitiveness to a certain extent. For example, the comparative effect research with big data participation can improve the efficiency of medical staff, reduce the cost of medical treatment and physical damage to patients; in addition, the use of big data to monitor remote patients can also reduce the hospitalization time of patients and achieve the optimal allocation of medical resources In the process of using the remote monitoring system to realize disease prevention, not only can reduce the risk of accidents for patients, but also can save medical resources and create social and economic value.

Healthcare has also begun to slowly shift to using big data. For example, Dignity Health (Dignity Health) is one of the largest medical health systems in the United States. It is dedicated to the development of cloud-based big data platforms with functions such as clinical databases, social and behavior analysis. The platform will connect 39 hospitals and more than 9,000 related institutions in the system and share data. Through their big data applications, you can see some opportunities: such as personal and group medical planning, including preventive disease management; definition and application of the best Cases, reduce the readmission rate; predict the risk of sepsis or renal failure, and intervene early to reduce negative results; better manage medical costs and interpretation; create tools to improve each patient ’s medical experience.

Express Scripts (express prescriptions) handle millions of prescriptions every year through home visits and drug retailing. Express Scripts has a professional team that performs high-performance and detailed analysis of big data to effectively analyze each patient. In this way, they can remind medical workers which medicines have serious side effects before the prescription, and reveal the progress of chronic diseases or certain undetected diseases through drug purchase behaviors, psychosocial information and other medical data. At the same time, they are discharged The post-drug treatment can be used to predict the likelihood of hospital readmission within 90 days, and medical workers can take action to avoid patient readmissions.

United Healthcare (United Healthcare), the largest health insurance company in the United States, is processing data in the Hadoop big data framework (application of big data and advanced analysis technology). They use big data and advanced analysis technology to improve clinical care and conduct financial analysis Monitor fraud and abuse.

As governments, enterprises, and scientific research institutions increase their investment in precision medicine resources, big data will continue to play a role as a booster for the development of precision medicine, and promote the development of the precision medicine industry. Artificial intelligence and big data have always been hot topics. The application of big data and artificial intelligence in medicine is also endless.

Compared with diagnostic driving and search engines, the threshold for medical diagnosis is higher and the requirements for artificial intelligence are stricter. However, at the Intel Artificial Intelligence Conference held at the end of 2017, we heard the opinion of doctors who have more than 10 years of clinical experience in the accuracy of image detection by AI models.