Applications and Research Progress of Clinical Specialty Databases in Spontaneous Intracerebral Hemorrhage

随着人口老龄化的发展，自发性脑出血的发病率居高不下，全球年发病率高达24.6/100万。因此，构建自发性脑出血专病数据库具有重要临床价值。通过系统收集的大量医学数据可以提供流行病学资料。与常规病历系统不同，它支持快速生成可验证的临床假设。总之，专病数据库为自发性脑出血的病因、临床过程、结局、预后提供了可靠的医学数据。本文重点介绍专病数据库的特点、在临床中的应用及研究进展及人工智能技术在构建数据库中的应用，以促进多地区自发性脑出血数据库的构建、辅助医疗决策并提高精准医疗水平。The development of population ageing has resulted in a high incidence of spontaneous cerebral haemorrhage, with a global annual incidence rate of 24.6 per million. Consequently, there is a significant clinical need to establish a database for spontaneous cerebral haemorrhage. The database will collate a substantial volume of medical data, providing valuable epidemiological insights. In contrast to conventional medical record systems, it will facilitate the rapid formulation of testable clinical hypotheses. In conclusion, the disease-specific database provides reliable medical data on the etiology, clinical course, outcome, and prognosis of spontaneous cerebral haemorrhage. The focus of this paper is on the characteristics of the speciality databases, their application in clinical practice and research progress, and the application of artificial intelligence technology in constructing the databases. The aim is to facilitate the construction of multi-regional spontaneous cerebral haemorrhage databases, to assist medical decision-making and to improve precision medicine.