Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
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Abstract (arXiv)
Understanding medication events in clinical narratives is essential to achieving a complete picture of a patient's medication history. While prior research has explored classification of medication changes from clinical notes, studies to date have not considered the necessary clinical context needed for their use in real-world applications, such as medication timeline generation and medication reconciliation. In this paper, we present the Contextualized Medication Event Dataset (CMED), a dataset for capturing relevant context of medication changes documented in clinical notes, which was developed using a novel conceptual framework that organizes context for clinical events into various orthogonal dimensions. In this process, we define specific contextual aspects pertinent to medication change events, characterize the dataset, and report the results of preliminary experiments. CMED consists of 9,013 medication mentions annotated over 500 clinical notes, and will be released to the community as a shared task in 2021.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2020.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 3.
6 papers.
- 2023Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architecturescited by 8
- 2023Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classificationcited by 6
- 2022Extracting Medication Changes in Clinical Narratives using Pre-trained Language Modelscited by 4
- 2025Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Modelscited by 1
- 2025Benchmarking Open-Source Large Language Models on Healthcare Text Classification Taskscited by 0
- 2025Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)cited by 0
- 2025Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)29 Jun 2025
- 2025Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Models10 Jun 2025
- 2025Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks19 Mar 2025
- 2023Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification10 Jun 2023
- 2023Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures14 Mar 2023
- 2022Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models17 Aug 2022