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What are the applications of big data in the medical industry?
Big data major is an interdisciplinary subject: statistics, mathematics and computer are the three supporting disciplines; Biology, medicine, environmental science, economics, sociology and management are applied and expanded disciplines. So big data has applications in many industries. Let's talk about its application in the medical field.

With the continuous expansion of the Internet, big data is changing most industries or enterprises in this era, and the medical industry is no exception. Medical health is becoming the focus of people's attention. Medical informatization characterized by intelligence and digitalization is developing vigorously, and the data types of medical industry are also changing to massive, complex and diverse types.

1. Electronic management of medical data

Collect electronic medical records, including personal medical history, family medical history, allergies and all medical examination results. Sharing in the information system, every doctor can add or change records in the system without having to do it through time-consuming paper work. At the same time, these records can also help patients master their own medication, and are also important data reference for medical research.

2. Health prediction

Based on the data of wearable devices such as smart watches, a health prediction model is established. Through these wearable devices, health data is continuously collected and stored in the cloud to report the health status of patients in real time. It has been applied to the prediction and analysis of millions of people and their diseases, and future clinical trials will not be limited to small samples, but will include all people.

3. Medical imaging and clinical diagnosis

By allowing big data robots to identify and remember a variety of massive medical images, such as X-rays, magnetic resonance, ultrasound and so on. A large number of medical records are deeply excavated and studied, and diagnostic films are trained. Finally, it helps doctors to make clinical decisions, standardize diagnosis and treatment paths, and improve doctors' work efficiency.

4. Drug research and development

Using big data to model and analyze the data and predict the clinical results of drugs can provide reference for the experimental results in the clinical stage, save the time in the clinical stage and optimize the clinical experimental results. Pharmaceutical companies can also analyze through data modeling, so as to produce drugs with higher success rate, which greatly shortens the time from research and development to market.