De-identified EHR for Obstetric and Maternal Care Dataset

The dataset contains anonymized clinical information standardized using the OMOP Common Data Model version 5.4, corresponding to the clinical profiles of 23,879 women aged 18 to 47 years who received care in the Gynecology and Obstetrics Department of the Clínica Universitaria Bolivariana (CUB) between 2015 and 2017. Each patient has at least one visit related to pregnancy, childbirth, and/or the postpartum period, documented through both structured data and unstructured clinical notes. In total, the database comprises: 200,070 clinical observations, 143,385 documented clinical conditions, 2,494,424 clinical measurements, 3,776,555 clinical notes in natural language, all of which collectively form a comprehensive and cohesive set of obstetric clinical events linked through primary and foreign keys. The dataset consists of seven files: six CSV tables and one .ipynb notebook containing the exploratory data analysis (EDA). Each CSV file adheres to the OMOP v5.4 Common Data Model, ensuring interoperability and enabling comparative analyses with other standardized healthcare databases. Formal descriptions of tables and attributes are available in the official OHDSI documentation, including the Concept table, which references international medical terminologies such as SNOMED CT, LOINC, and RxNorm. The files included are: 01_Person: contains the person_id and demographic information. 02_Visit: documents each medical visit (89,893 records). 03_Observation: includes coded clinical observations (200,070 records). 04_Condition: records diagnoses and reasons for consultation (143,385 records). 05_Measurement: stores quantitative and qualitative clinical measurements (2,494,424 records). 06_Note: contains clinical notes in natural language (3,776,555 records). 07_Notebook: an .ipynb file with the exploratory data analysis. A hierarchical relational structure underlies the dataset: each 01_Person is associated with at least one 02_Visit, which in turn links to 03_Observation, 04_Condition, 05_Measurement, and 06_Note. The person_id field functions as the central key enabling reconstruction of full clinical cases across all tables. Because the dataset is fully standardized to OMOP v5.4 — including structured data and unstructured clinical notes — it represents a robust source for real-world evidence generation, supporting advances in research, clinical surveillance, maternal health analytics, and outcomes-driven medicine.本数据集包含经OMOP通用数据模型（OMOP Common Data Model）5.4版标准化后的匿名化临床信息，对应2015年至2017年间在玻利瓦尔大学附属医院（Clínica Universitaria Bolivariana，简称CUB）妇产科接受诊疗的23879名年龄介于18至47岁女性的临床病历。每位患者均至少有一次与妊娠、分娩及/或产后期相关的就诊记录，相关信息通过结构化数据与非结构化临床笔记两类形式留存。 该数据库总计包含： 200070条临床观测记录、 143385条已记录的临床病症、 2494424条临床测量数据、 3776555条自然语言临床笔记， 所有数据通过主键与外键关联，共同构成一套完整且连贯的产科临床事件数据集。 本数据集共包含7个文件：6个CSV表格与1个包含探索性数据分析（Exploratory Data Analysis，简称EDA）的.ipynb笔记本。所有CSV文件均遵循OMOP v5.4通用数据模型规范，确保可互操作性，并支持与其他标准化医疗数据库开展对比分析。表格与属性的正式说明可参考OHDSI官方文档，其中包含参考SNOMED CT、LOINC及RxNorm等国际医学术语集的概念表（Concept table）。 各文件详情如下： 01_Person：包含患者唯一标识person_id与人口统计学信息。 02_Visit：记录每一次医疗就诊（共89893条记录）。 03_Observation：涵盖编码化临床观测数据（共200070条记录）。 04_Condition：记录诊断结果与就诊原因（共143385条记录）。 05_Measurement：存储定量与定性临床测量数据（共2494424条记录）。 06_Note：包含自然语言形式的临床笔记（共3776555条记录）。 07_Notebook：包含探索性数据分析的.ipynb文件。 本数据集采用层级化关联结构：每位01_Person记录至少关联一次02_Visit记录，而就诊记录又进一步关联03_Observation、04_Condition、05_Measurement及06_Note四类数据。person_id字段作为核心主键，可实现所有表格中完整临床病例的重构。 由于本数据集完全遵循OMOP v5.4标准进行构建（涵盖结构化数据与非结构化临床笔记），其可作为生成真实世界证据的可靠数据源，为科研、临床监测、孕产妇健康分析及以结局为导向的医学研究提供支持。