How to excavate and analyze large data on health cloud

The purpose of this paper is to introduce the development of regional medical information system and the technology of large data analysis, and to sum up the special challenges faced by large data analysis on health cloud and to propose some preliminary solutions.

The rise of the healthy cloud

With the steady development of China's economy and the progress of modern science and technology, more and more people begin to focus on their own health. In order to meet the needs of daily work and life, regular fitness and leisure activities, annual physical examination, healthy diet has become more and more common imagination. At the same time, with the promulgation and implementation of the national new medical reform policy, health care industry is developing rapidly. Here is a brief introduction of China's medical industry IT Solutions market trends:

1, the increasing variety of medical data sources: Medical data generation and collection is no longer limited to the hospital this single environment. It can also come from medical centers, community/township hospitals, private clinics, laboratory testing centers, first aid centers, families, and with the development of technologies related to the Internet of Things (IoT, things), we can even say that personal medical data can be mined from any suitable place.

2. High concentration of medical data: the Regional Medical Information System (Rhis, regional Tiyatien information System) will gradually replace the existing hospital based information system. Moreover, it will cover all hospitals, communities, emergency centres, medical centers, laboratory testing centers, social insurance agencies and so on in a specific region. Residents individual full-time medical data from various data sources will be centrally stored in a unified regional data center. Medical data will no longer be a unique resource for a single hospital, but should be shared with all medical institutions throughout the region, and can even be exchanged with a higher level of regional and national information systems.

3. From the medical information system to the medical Service: the gradual establishment of the regional medical Information system will make the design and development of the Advanced Medical message service become more convenient. For example: epidemiological analysis, public health event prediction, clinical decision support, chronic disease management, personalized health care programs, day-to-day health care management. The reason is that these information services must be based on data centralization. The audiences of these services will be the whole society.

It is the development trend as described above that makes the establishment of the health Cloud (Healthcare Cloud) possible. Imagine: In the near future, we can through the mobile phone to unify the medical records in different hospitals, biochemical test results, prescriptions and billing list; chronically ill patients at home can self test blood pressure, blood sugar and other indicators and through the wireless network to the Regional Medical data center, Doctors can also remotely analyze patients ' self-rated data to determine their progression; a large amount of knowledge and rules are automatically extracted from massive data and used to assist primary physicians in the community and primary health institutions to make accurate diagnoses and medication decisions; The medical data of the residents of each community will be automatically aggregated and statistically analyzed, The use of automatic screening, trend analysis and outbreak warning for epidemics and chronic diseases provides a strong basis and reference for public health institutions to develop prevention and intervention plans and actions; patient's symptoms, vital signs, test results, medical imaging, diagnostics, prescriptions, doctor's orders, surgery, Full-time data such as hospitalization and billing will be followed up and analyzed to provide support for new drug development and treatment design. All of these examples will be the gradual realization of our health cloud.

Of course, the health cloud is not built in a day, it will be a phased project. In addition to external factors such as national policy and local support, cloud computing and large data technology will play a decisive role. From building the underlying cloud infrastructure, cloud storage solution, to the middle tier cloud computing platform, and finally to the top of the cloud application services design and development, it will take at least 3-5 years of long-term planning. Among them, the large data analysis section is vertical through the cloud infrastructure, cloud platform and cloud service three layer, need the overall design and step-by-step implementation. Based on the existing technology and requirements, in this paper, we will temporarily define health cloud as: Medical information service based on regional health information system, and focus on 1-3 years of market demand.

(Responsible editor: The good of the Legacy)