ArXiv Preprint
Daily progress notes are common types in the electronic health record (EHR)
where healthcare providers document the patient's daily progress and treatment
plans. The EHR is designed to document all the care provided to patients, but
it also enables note bloat with extraneous information that distracts from the
diagnoses and treatment plans. Applications of natural language processing
(NLP) in the EHR is a growing field with the majority of methods in information
extraction. Few tasks use NLP methods for downstream diagnostic decision
support. We introduced the 2022 National NLP Clinical Challenge (N2C2) Track 3:
Progress Note Understanding - Assessment and Plan Reasoning as one step towards
a new suite of tasks. The Assessment and Plan Reasoning task focuses on the
most critical components of progress notes, Assessment and Plan subsections
where health problems and diagnoses are contained. The goal of the task was to
develop and evaluate NLP systems that automatically predict causal relations
between the overall status of the patient contained in the Assessment section
and its relation to each component of the Plan section which contains the
diagnoses and treatment plans. The goal of the task was to identify and
prioritize diagnoses as the first steps in diagnostic decision support to find
the most relevant information in long documents like daily progress notes. We
present the results of 2022 n2c2 Track 3 and provide a description of the data,
evaluation, participation and system performance.
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, Ozlem Uzuner, Majid Afshar
2023-03-14
