MEDICAL DATA ANALYSIS 

医疗数据分析

医生对患者诊疗和治疗过程中产生的数据，包括患者的基本数据、电子病历、诊疗数据、医学影像数据、医学管理、经济数据、医疗设备和仪器数据等，以患者为中心，成为医疗数据的主要来源。医疗大数据的主要用途有：用药分析、病因分析、移动医疗、基因组学、疾病预防、可穿戴医疗等。随着医疗大数据的发展和分析方法、人工智能等技术的不断革新，能够准确利用医疗大数据来进行分析和预测的场景会越来越多，大数据将会成为医疗决策的一种重要辅助依据。

The data generated by doctors in the process of diagnosis, treatment and treatment of patients, including patients' basic data, electronic medical records, diagnosis and treatment data, medical image data, medical management, economic data, medical equipment and instrument data, take patients as the center and become the main source of medical data. The main uses of medical big data include: medication analysis, etiology analysis, mobile medicine, genomics, disease prevention, wearable medicine, etc. With the development of medical big data and the continuous innovation of analysis methods, artificial intelligence and other technologies, there will be more and more scenarios that can accurately use medical big data for analysis and prediction, and big data will become an important auxiliary basis for medical decision-making.