The application of big data in the medical field, what is the role of medical big data?

1. Health monitoring.

Big data technology can provide residents' health records, including all diagnosis and treatment information and physical examination information, which can provide more targeted solutions for sick residents. And through wearable devices such as smart watches, you can carry them at any time, and you can report the patient's health status in real time. ** and analysis applied to millions of people and their various diseases, and in the future clinical trials will no longer be limited to small samples, but will include everyone.

2. Electronic data management.

Patients' image data, medical record data, examination results, diagnosis and treatment expenses and other data are entered into the big data system, which is managed in a unified manner, and each doctor can check the patient's detailed information and change records in the system. It no longer needs to be done through time-consuming paperwork, which is very important for doctors to better grasp the diagnosis and ** of the disease.

3. Medical research.

In the field of medical research, the use of big data technology to screen and analyze various data can provide strong data analysis support for scientific research. For example, in the scientific research of health risk factor analysis, big data technology can be used to systematically and comprehensively collect data on health risk factors, including environmental factors, biological factors, economic and social factors, personal behavior and psychological factors, medical and health service factors, and human biological genetic factors.

What we call big data should contain many aspects, of course, it can also be used in our medical field, and can be applied to some drug development and clinical research!

He actually has a lot of applications for this, but in medicine, he can actually do anything.

Big data, for the statistics, research, and control of diseases, is indispensable and first-hand material.

2. Clinical decision support and other clinical applications (including diagnosis-related imaging information) 3. Expense reimbursement, utilization rate and fraud supervision.

4. Patient behavior: Social network reading empty celery.

In other words, whether it is data from pharmaceutical companies, or data from clinical, social security or patients, it can be regarded as the first major data of medical and health care.

The prospects are promising, according to the analysis of the "Global Health and Medical Big Data Industry Development Prospects** and Investment Strategic Planning Analysis Report", the current market size of China's health industry has reached more than 4 trillion yuan.

Medical big data is data analysis through medical big data, which can be used for medical comparison and research.

Comprehensive analysis of disease characteristics data, efficacy data, comparison of the effectiveness of various interventions, and the best way to find a specific disease.

In the digital era, Internet operations are inseparable from big data, what is big data? How is it being used?

With the advent of the 5G era, the application of big data has developed rapidly and has received a lot of attention. Big data is applied to various industries of the chain, including finance, automobiles, catering, telecommunications, energy, entertainment, etc., and all walks of life have been integrated into the traces of big data.

1.Manufacturing: Use industrial big data to improve the level of manufacturing, including product fault diagnosis and optimization, process analysis, production process improvement, optimization of production process energy consumption, industrial chain analysis and optimization, production planning and scheduling.

2.E-commerce industry: The e-commerce industry is the first industry to use big data for precision marketing, which can produce materials and logistics management in advance according to consumer habits. With the increasing concentration of e-commerce, the amount of big data in the industry has become larger and more diverse.

3.Financial industry: The use of big data in the financial industry is very extensive, mainly in the transaction process.

Many equity transactions are now carried out using big data algorithms. These algorithms are able to take social and news into account more and more, and decide whether to buy or choose to buy in the next few seconds.

5.Energy industry: With the development of smart grids, power companies can use big data technology to analyze users' electricity consumption patterns, improve power grid operation, reasonably design power demand response systems, and ensure the safety of power grid operation.

6.Logistics industry: use big data to optimize the logistics network, improve logistics efficiency, and reduce logistics costs.

7.Biotechnology: Gene technology is an important part of humanity's future challenges to diseases**.

Scientists can take advantage of the application of big data technology, which can accelerate the research process of their own genes and other animal genes, and can also be one of the most important for humans to overcome diseases in the future**.

About healthcare big data.

The medical industry is an ecosystem, and this ecosystem includes a number of important players: public and private hospitals, community hospitals and other medical institutions as medical service providers, commercial insurance companies and social insurance as payers of medical services and products, as well as health departments at all levels as the formulation and supervision of medical policies, such as the Health and Family Planning Commission and local health departments and bureaus at all levels, as well as various related enterprises that are the producers and sellers of medicines and medical products. Manufacture or sale of various drugs and medical devices. In addition to the above traditional roles, with the maturity and gradual marketization of wearable technology, there are many products and data-based services for consumer health and sports in the medical industry.

They have also become an indispensable member of the medical industry through wearable devices to record and detect consumers' daily activities and physiological indicators, and are gradually growing into owners of big data.

The medical ecosystem generates a lot of data in the process of its operation. How to integrate and use relevant data more effectively to better perform policy formulation and regulatory functions is one of the important issues faced by health departments at all levels. How to use the data of existing patients to improve the efficiency and quality of future clinical ** and support professional medical research is an important challenge faced by medical service providers.

1. Electronic medical records

By far the most powerful application of big data is the collection of electronic medical records. Each patient has their own electronic record, including personal medical history, family medical history, allergies, and all medical test results.

2. Health monitoring

Another innovation in the healthcare industry is the use of "wearable devices", which are able to report on the health status of patients in real time. Similar to the software that analyzes medical data inside hospitals, these new analytics devices have the same functionality, but can be used outside of the facility, reducing healthcare costs and allowing patients to know their health at home while also receiving the best advice from smart devices. These wearables continuously collect health data and store it in the cloud.

3. Allocation of medical and nursing resources

This seemingly impossible task has been realized in some "trial wide" units with the help of big data. In Paris, France, there are four hospitals that pass data on the number of patients per day and hour in each hospital.

4. Big data and artificial intelligence

Artificial intelligence technology uses algorithms and software to analyze complex medical data to achieve the purpose of approximating human cognition. As a result, AI makes it possible for computer algorithms to predict conclusions without direct human input. Powered by AI, Dankiye's brain-computer interface can help restore basic human experiences, such as speech and communication functions lost due to neuromodel system disorders and neurological trauma.