ArticleProceedings of the conference. Association for Computational Linguistics. Meeting2023
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.
Article in Proceedings of the conference. Association for Computational Linguistics. Meeting, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2026Article
- Scaling Biomedical Knowledge Graph Retrieval for Interpretable Reasoning: Applications to Clinical Diagnosis Prediction.medRxiv : the preprint server for health sciences · 2026Article
- Evaluating clinical AI summaries with large language models as judges.NPJ digital medicine · 2025Article
- Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction.Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing · 2025Article
- Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.medRxiv : the preprint server for health sciences · 2025Article
- Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study.JMIR AI · 2025Article
- Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study.JMIR mental health · 2024Article
- Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical Diagnoses.medRxiv : the preprint server for health sciences · 2024Article
- Adapted large language models can outperform medical experts in clinical text summarization.Nature medicine · 2024Article
- Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical Diagnoses.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Pre-test Prediction of Non-ischemic Cardiomyopathies using Time-Series EHR Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.Research square · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.