EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
收藏DataCite Commons2025-03-19 更新2025-04-16 收录
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https://physionet.org/content/ehrcon-consistency-of-notes/1.0.1/
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资源简介：
Electronic Health Records (EHRs) are integral for storing comprehensive
patient medical records, combining structured data (e.g., medications) with
detailed clinical notes (e.g., physician notes). These elements are essential
for straightforward data retrieval and provide deep, contextual insights into
patient care. However, they often suffer from discrepancies due to unintuitive
EHR system designs and human errors, posing serious risks to patient safety.
To address this, we developed EHRCon, a new dataset and task specifically
designed to ensure data consistency between structured tables and unstructured
notes in EHRs. EHRCon was crafted in collaboration with healthcare
professionals using the MIMIC-III EHR dataset, and includes manual annotations
of 4,101 entities across 105 clinical notes checked against database entries
for consistency. EHRCon has two versions, one using the original MIMIC-III
schema, and another using the OMOP CDM schema, in order to increase its
applicability and generalizability.
提供机构：
PhysioNet
创建时间：
2025-03-12
