Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on
  Summarizing Patients' Active Diagnoses and Problems from Electronic Health
  Record Progress Notes
Yanjun Gao Dmitriy Dligach Timothy Miller Matthew M. Churpek Majid Afshar
The BioNLP Workshop 2023 initiated the launch of a shared task on Problem
List Summarization (ProbSum) in January 2023. The aim of this shared task is to
attract future research efforts in building NLP models for real-world
diagnostic decision support applications, where a system generating relevant
and accurate diagnoses will augment the healthcare providers decision-making
process and improve the quality of care for patients. The goal for participants
is to develop models that generated a list of diagnoses and problems using
input from the daily care notes collected from the hospitalization of
critically ill patients. Eight teams submitted their final systems to the
shared task leaderboard. In this paper, we describe the tasks, datasets,
evaluation metrics, and baseline systems. Additionally, the techniques and
results of the evaluation of the different approaches tried by the
participating teams are summarized.