  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.
