Today is the era of big data, the outlook is naturally better, according to the Prospective Industry Research Institute, "2016-2021 China Industry Big Data Market Development Prospect Forecast and Investment Strategy Planning Analysis Report", in general, the application of big data in health care is mainly embodied in the clinical operation, research and development, new business models, payment/pricing, public health five major areas, in these scenarios, big data analysis and application will play a huge role in all of these scenarios.
The application of medical big data is of great significance to clinical medical research, scientific management, and the transformation and development of healthcare service models, and the prospects for the use of big data technology are very bright.
The big data faced by hospitals and the healthcare industry are mainly unstructured data such as medical images, videos (teaching, monitoring) and documents. Due to the rapid growth and complex structure of these data, it puts greater pressure on data management and utilization, with increasing storage and management costs, difficulty in data utilization, and low utilization rate. In addition to the rapid increase in the volume and form of data, medical data requires increasingly long retention periods. Once there is a problem with the security of the storage system, resulting in the loss of medical data, the hospital will face a serious adverse situation. The application of medical big data should ensure the comprehensiveness, accuracy, real-time and ease of use of the data, be able to be quickly calculated and quickly presented, and be closely integrated with the daily work platform.
The people of China have elevated health big data to a national strategy, and in the face of the challenge of "big data", hospitals must consider three major issues.
(1) Is data storage safe and reliable? Because once the system fails, the first test is the data storage, disaster recovery and recovery capabilities. If the data can not be quickly recovered, and recovery can not be to the breakpoint, it will constitute a direct damage to the hospital's business, patient satisfaction.
(2) How to improve the efficiency of hospital operations and services? Improving efficiency is to save doctors' time, thus easing the tension of medical resources, to a certain extent, can help solve the problem of "difficult to see the doctor".
(3) How to control the cost of big data? Whether the storage architecture is reasonable, not only affects the cost of the hospital IT system, but also about the hospital's operating costs, medical data surge, so that hospitals generally have a large storage capacity expansion pressure. Today, most of the storage devices in hospitals are completely heterogeneous storage systems composed of different vendors. These different storage devices are controlled and managed using their own different software tools, which increases the complexity of the entire system and makes management costs very high.
Future, big data will certainly affect the medical industry, the future of the medical industry will be specifically applied to big data: clinical decision-making, medical quality supervision, disease prediction model, clinical trial analysis. Its development space are: personal health portal, chronic disease management and health management, electronic medical records and clinical quality monitoring, medical knowledge management, clinical pathway and evidence-based medicine, telemedicine and mobile health, medical research data warehouse and **** enjoy the platform, across the health care organization collaboration platform.