@inproceedings{jobanputra-etal-2026-discharge,
title = "Discharge Instructions are not One Task: Grounding Differences Between Surgical and Non-Surgical Admissions",
author = "Jobanputra, Mayank and
Xu, Justin and
Oza, Samarth and
Naseer, Hulma and
Wang, Yifan and
Veseli, Blerta and
Kona, Chandralekha and
Cui, Haochen and
Eyre, David and
Demberg, Vera",
editor = "Demner-Fushman, Dina and
Ananiadou, Sophia and
Roberts, Kirk and
Tsujii, Junichi",
booktitle = "{B}io{NLP} 2026",
month = jul,
year = "2026",
address = "San Diego, California",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.bionlp-1.34/",
pages = "426--434",
ISBN = "979-8-89176-434-7",
abstract = "Discharge instructions are patient-facing, safety-critical documents that guide medication use, follow-up care, and recovery after hospitalization. Because they must synthesize information across the clinical record and often include post-discharge guidance not stated verbatim in the EHR, they are a difficult target for clinical text generation. In this work, we study discharge instructions in MIMIC-IV through a grounding-first lens. Using two LLMs, we decompose each discharge instruction into medically relevant statements and verify them against the Electronic Health Record (EHR). We find that discharge instructions for Surgical admissions are much longer, averaging roughly 24{--}25 statements per admission versus 11{--}12 in Non-Surgical cases, while supported content remains similar in absolute count. The additional Surgical content is dominated by statements that are not directly stated in the record or require clinically plausible extrapolation. Through this analysis, we advocate for better grounding and completeness evaluations at a fine-grained level, establishing a foundational step toward safer and more reliable discharge-instruction generation."
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<abstract>Discharge instructions are patient-facing, safety-critical documents that guide medication use, follow-up care, and recovery after hospitalization. Because they must synthesize information across the clinical record and often include post-discharge guidance not stated verbatim in the EHR, they are a difficult target for clinical text generation. In this work, we study discharge instructions in MIMIC-IV through a grounding-first lens. Using two LLMs, we decompose each discharge instruction into medically relevant statements and verify them against the Electronic Health Record (EHR). We find that discharge instructions for Surgical admissions are much longer, averaging roughly 24–25 statements per admission versus 11–12 in Non-Surgical cases, while supported content remains similar in absolute count. The additional Surgical content is dominated by statements that are not directly stated in the record or require clinically plausible extrapolation. Through this analysis, we advocate for better grounding and completeness evaluations at a fine-grained level, establishing a foundational step toward safer and more reliable discharge-instruction generation.</abstract>
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%0 Conference Proceedings
%T Discharge Instructions are not One Task: Grounding Differences Between Surgical and Non-Surgical Admissions
%A Jobanputra, Mayank
%A Xu, Justin
%A Oza, Samarth
%A Naseer, Hulma
%A Wang, Yifan
%A Veseli, Blerta
%A Kona, Chandralekha
%A Cui, Haochen
%A Eyre, David
%A Demberg, Vera
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Roberts, Kirk
%Y Tsujii, Junichi
%S BioNLP 2026
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California
%@ 979-8-89176-434-7
%F jobanputra-etal-2026-discharge
%X Discharge instructions are patient-facing, safety-critical documents that guide medication use, follow-up care, and recovery after hospitalization. Because they must synthesize information across the clinical record and often include post-discharge guidance not stated verbatim in the EHR, they are a difficult target for clinical text generation. In this work, we study discharge instructions in MIMIC-IV through a grounding-first lens. Using two LLMs, we decompose each discharge instruction into medically relevant statements and verify them against the Electronic Health Record (EHR). We find that discharge instructions for Surgical admissions are much longer, averaging roughly 24–25 statements per admission versus 11–12 in Non-Surgical cases, while supported content remains similar in absolute count. The additional Surgical content is dominated by statements that are not directly stated in the record or require clinically plausible extrapolation. Through this analysis, we advocate for better grounding and completeness evaluations at a fine-grained level, establishing a foundational step toward safer and more reliable discharge-instruction generation.
%U https://aclanthology.org/2026.bionlp-1.34/
%P 426-434
Markdown (Informal)
[Discharge Instructions are not One Task: Grounding Differences Between Surgical and Non-Surgical Admissions](https://aclanthology.org/2026.bionlp-1.34/) (Jobanputra et al., BioNLP 2026)
ACL
- Mayank Jobanputra, Justin Xu, Samarth Oza, Hulma Naseer, Yifan Wang, Blerta Veseli, Chandralekha Kona, Haochen Cui, David Eyre, and Vera Demberg. 2026. Discharge Instructions are not One Task: Grounding Differences Between Surgical and Non-Surgical Admissions. In BioNLP 2026, pages 426–434, San Diego, California. Association for Computational Linguistics.