BioNLP Workshop 2023 Shared Task 1A: Problem List Summarization

Automatically summarizing patients' main problems from the daily care notes in
the electronic health record can help mitigate information and cognitive
overload for clinicians and provide augmented intelligence via computerized
diagnostic decision support at the bedside. The task of Problem List
Summarization aims to generate a list of diagnoses and problems in a patient's
daily care plan using input from the provider's progress notes during
hospitalization.

This task aims to promote NLP model development for downstream applications in
diagnostic decision support systems that could improve efficiency and reduce
diagnostic errors in hospital care. The task contains 768 hospital daily
progress notes and 2783 diagnoses in the training set, and a new set of 237
daily progress notes are recently annotated as the test set. The annotation
methods and annotation quality have previously been reported.

The dataset supports a more complex summarization task to generate a list of
relevant diagnoses/problems given the information in the Subjective,
Objective, and Assessment sections of the note. Only diagnoses/problems that
are available in the progress note were labeled for the task.