petrsovadina/klinicka-knowledge-base

结构化知识库，专注于捷克共和国门诊医疗保健的经济、报销和运营方面。数据集包含从报销法令、保险公司方法和实践文章中提取的原子知识单元（规则、例外、风险、反模式等）。目的是为AI决策支持提供帮助，使医生和诊所运营者能够理解其决策的经济、报销和运营后果。数据集结构为JSON格式，包含多个字段如id、type、domain、title等。数据集创建过程涉及多个数据源，包括InfoProLekare.cz、捷克共和国卫生部的报销法令和保险公司的方法。数据集的社会影响包括帮助医生和运营者理解决策的经济影响、避免常见错误和优化实践运营。数据集的局限性包括仅包含15个单元、主要关注2026年报销法令以及需要持续更新。

Structured knowledge base focused on the economics, reimbursements, and operations of outpatient healthcare in the Czech Republic. The dataset contains atomic knowledge units (rules, exceptions, risks, anti-patterns) extracted from reimbursement decrees, insurance company methodologies, and practical articles. Purpose: To provide an AI decision-support layer that helps doctors and clinic operators understand the economic, reimbursement, and operational consequences of their decisions. The dataset structure is in JSON format, including fields such as id, type, domain, title, etc. The dataset creation process involves multiple data sources, including InfoProLekare.cz, the reimbursement decree of the Czech Republics Ministry of Health, and insurance company methodologies. The social impact of the dataset includes helping doctors and operators understand the economic impacts of decisions, avoid common mistakes, and optimize practice operations. Limitations of the dataset include containing only 15 units, primarily focusing on the 2026 reimbursement decree, and requiring continuous updates.