Overview of the First Shared Task on Clinical Text Generation: RRG24 and “Discharge Me!”

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, Jean-Benoit Delbrouck


Abstract
Recent developments in natural language generation have tremendous implications for healthcare. For instance, state-of-the-art systems could automate the generation of sections in clinical reports to alleviate physician workload and streamline hospital documentation. To explore these applications, we present a shared task consisting of two subtasks: (1) Radiology Report Generation (RRG24) and (2) Discharge Summary Generation (“Discharge Me!”). RRG24 involves generating the ‘Findings’ and ‘Impression’ sections of radiology reports given chest X-rays. “Discharge Me!” involves generating the ‘Brief Hospital Course’ and '‘Discharge Instructions’ sections of discharge summaries for patients admitted through the emergency department. “Discharge Me!” submissions were subsequently reviewed by a team of clinicians. Both tasks emphasize the goal of reducing clinician burnout and repetitive workloads by generating documentation. We received 201 submissions from across 8 teams for RRG24, and 211 submissions from across 16 teams for “Discharge Me!”.
Anthology ID:
2024.bionlp-1.7
Volume:
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Dina Demner-Fushman, Sophia Ananiadou, Makoto Miwa, Kirk Roberts, Junichi Tsujii
Venues:
BioNLP | WS
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
85–98
Language:
URL:
https://aclanthology.org/2024.bionlp-1.7
DOI:
10.18653/v1/2024.bionlp-1.7
Bibkey:
Cite (ACL):
Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma, Jason Hom, William J. Collins, Ankit Modi, Robert Lloyd, Benjamin Hopkins, Curtis Langlotz, and Jean-Benoit Delbrouck. 2024. Overview of the First Shared Task on Clinical Text Generation: RRG24 and “Discharge Me!”. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pages 85–98, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Overview of the First Shared Task on Clinical Text Generation: RRG24 and “Discharge Me!” (Xu et al., BioNLP-WS 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/2024.bionlp-1.7.pdf