Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
BMC Res Notes. 2023 Jul 20;16(1):151. doi: 10.1186/s13104-023-06422-y.
The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or private nature. Despite being publicly available, it can only be accessed in separated disjoint tables, with different primary units of analysis. The objective is to offer an interoperable dataset containing monthly data from 2005 to 2021 with information on healthcare facilities, including their physical and human resources, services and teams, enriched with municipal information.
Database with historical data and geographic information for each health facility in Brazil. It is composed by 5 distinct tables, organized according to combinations of time, space, and types of resources, services and teams. This database opens up a range of possibilities for research topics, from case studies in a single health facility and period, analysis of a group of health facilities with characteristics of interest, to a broader study using the entire dataset and aggregated data by municipality. Furthermore, the fact that there is a row for each health facility/month/year facilitates the integration with other datasets from the Brazilian healthcare system. In addition to being a potential object of study in the health area, the dataset is also convenient in data science, especially for studies focused on time series.
国家医疗保健机构登记系统是一个登记巴西所有医疗保健机构的系统，其中包含有关其公私性质的能力建设和医疗保健劳动力的信息。尽管该系统是公开的，但只能通过不同的主要分析单位访问其分离的不相关表格。目的是提供一个可互操作的数据集，其中包含 2005 年至 2021 年的每月数据，其中包含医疗保健机构的信息，包括其物力和人力资源、服务和团队，并辅以城市信息。
巴西每个医疗保健机构的历史数据和地理信息数据库。它由 5 个不同的表格组成，根据时间、空间和资源、服务和团队类型的组合进行组织。该数据库为研究主题提供了多种可能性，从单个医疗保健机构和时期的案例研究、对一组具有特定特征的医疗保健机构的分析，到使用整个数据集和按城市聚合数据的更广泛研究。此外，由于每个医疗保健机构/月/年都有一行，因此便于与巴西医疗保健系统的其他数据集进行集成。除了是卫生领域的潜在研究对象外，该数据集在数据科学中也很方便，特别是对于专注于时间序列的研究。
