The first thing we have to distinguish is that we learn the profession is to build our knowledge framework and theoretical system, and later to engage in the specific which industry is actually not very much connection, big data profession belongs to the cross-disciplinary: statistics, mathematics, computers as the three major supportive disciplines; biology, medicine, environmental sciences, economics, sociology, management for the application of the expansion of the discipline. We can only learn to apply what we have learned in our work if we have passed the specialized knowledge. Here we can learn about the specific application of big data in the medical field.

With the constant expansion of the scale of the Internet, big data is changing the vast majority of industries or enterprises in this era, the medical industry is no exception, health care is becoming a key concern of the people, with intelligence, digitalization as the characteristics of the medical information technology is booming, the type of data in the medical industry is also to the huge amount of data, complexity, variety of types of ways to change.

1. Electronic management of medical visit data

The collection of electronic medical records, including personal medical history, family medical history, allergies, and all medical test results. Shared in the information system, each doctor is able to add or change records in the system without having to go through time-consuming paper work. These records also help patients keep track of their medications and are an important data reference for medical research.

2. Health Prediction

Through data from wearable devices such as smartwatches, a health prediction model is built to continuously collect health data from these wearable devices and store it in the cloud for real-time reporting of the patient's health status. Applied to the prediction and analysis of millions of people and their various diseases, and in the future clinical trials will no longer be limited to small samples, but include everyone.

3. Medical Imaging and Clinical Diagnostics

By allowing big data robots to recognize and memorize all kinds of massive medical images, such as X-rays, MRIs, ultrasounds ......, and other kinds of images. Deep mining and learning on a large number of cases, training its diagnosis of the film, and ultimately realize to assist doctors in clinical decision-making, standardize the diagnosis and treatment path, and improve the efficiency of doctors' work.

4. Drug R&D

Using big data for data modeling and analysis to predict the clinical results of drugs can provide reference for the results of experiments in the clinical stage, saving time in the clinical stage and optimizing the results of clinical experiments. Pharmaceutical companies can also use data modeling and analytics to produce drugs with higher therapeutic success rates and dramatically shorten the time from development to market.