What is the basis for categorizing healthcare big data into in-hospital and out-of-hospital data?

The distinction is made by the location and source of collection.

In-hospital data refers to data collected, stored and processed within the hospital, including medical information such as patients' medical records, examination reports, medical instructions, and surgical records, as well as data on hospital management, operations, and finance. These data are mainly managed and analyzed by the hospital's internal information system, and are the main basis for decision-making and management within the hospital. Out-of-hospital data refers to data collected, stored and processed outside the hospital, including personal health records, vital signs data collected by mobile medical devices, and health information on social media. These data are mainly managed and analyzed by personal health management platforms, mobile medical apps, etc., which can provide health consultation and management services to individuals.

By analyzing and applying both in-hospital and out-of-hospital data, patients' conditions and health status can be better understood, and the accuracy and efficiency of medical decisions can be improved. At the same time, the data can also be used for medical research and public **** health management to support the advancement of healthcare.