The application of big data : in electronic medical records

With the advent of the era of big data, various industries and fields have begun to involve big data which has fundamentally changed the organization, management, analysis and utilization of data. Among them, medical and health care is one of the most promising fields for applying big data to make changes. In view of the deep influence of Coronavirus disease 2019 and the large number of infectious persons, various medical data and diagnostic data stored in electronic medical records provide direct data support for scientific research. Medical health big data has great potential in improving the treatment effect of patients, predicting the outbreak of epidemics, gaining valuable insights, avoiding preventable diseases, reducing the cost of medical services and comprehensively improving the quality of life. Starting from the basic characteristics of medical big data and the development of electronic medical records, this thesis analyzes the framework and analysis model of a medical big data platform as well as the application, privacy and security of electronic medical records. A literature review was carried out to achieve the objectives of this thesis