Evidence map›Paper›PMID 42528499›Full record

ArticlemedRxiv : the preprint server for health sciences2026

PAUSE-Agents: A Clinician-in-the-Loop Multi-Agent AI Pipeline for ICU-to-Ward Handoff Briefs.

Saki Amagai, Wan-Ting Liao, Caleb Murphy, Courtney Reamer, Yupeng Liu, Bhavana Ambil, Glenn Fernandes, Lekshmi Santhosh, Patrick G Lyons, Neil Jordan and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Saki AmagaiDepartment of Preventive Medicine, Division of Biostatistics and Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0002-2825-4219
Wan-Ting LiaoDivision of Pulmonary and Critical Care, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0009-0001-5070-5610
Caleb MurphyDivision of Hospital Medicine, Northwestern University, Chicago, IL, USA.
Courtney ReamerDepartment of Medicine, Northwestern University, Chicago, IL, USA.
Yupeng LiuDepartment of Medicine, Northwestern University, Chicago, IL, USA.
Bhavana AmbilDepartment of Medicine, Northwestern University, Chicago, IL, USA.
Glenn FernandesDepartment of Computer Science, Northwestern University, Chicago, IL, USA.
Lekshmi SanthoshDepartment of Medicine, Division of Pulmonary/Critical Care Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-9897-3462
Patrick G LyonsDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-1557-2787
Neil JordanDepartments of Psychiatry & Behavioral Sciences, Preventive Medicine, and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0001-8467-822X
David LiebovitzDepartment of Surgery & Electrical and Computer Engineering, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0002-2518-5940
Adrienne KlineCenter for Artificial Intelligence, Bluhm Cardiovascular Institute, Northwestern Medicine, Chicago, IL, USA.ORCID 0000-0002-0052-0685
Juan C RojasDivision of Pulmonary, Critical Care, and Sleep Medicine, Rush University, Chicago, IL, USA.
Yuan LuoDepartment of Preventive Medicine, Division of Biostatistics and Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Catherine A GaoDivision of Pulmonary and Critical Care, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0001-5576-3943

Funding

Data Driven Strategies for Substance Misuse Identification in Hospitalized PatientsR01DA051464 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI Majid Afshar · 2020 to 2026
$4.5M
SPOT-IT: Sepsis Prediction in Oncology Through Implementation Science and TechnologyK08CA270383 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Patrick G Lyons · 2024 to 2026
$851k
Machine learning to predict cure in severe pneumonia episodesK23HL169815 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Catherine A. Gao · 2024 to 2026
$501k
NCI NIH HHS K08 CA270383NHLBI NIH HHS K23 HL169815NIDA NIH HHS R01 DA051464
6 · The paper itself

Abstract

ICU-to-ward transfers are high-risk transitions marked by information loss and burdensome handoff preparation. We developed PAUSE-Agents, a clinician-in-the-loop multi-agent LLM pipeline that drafts source-attributed handoff briefs from structured ICU data and clinical notes using the clinician-developed ICU-PAUSE template. Mirroring ICU team structure, PAUSE-Agents routes each record through a scribe extractor, 6 role-specialized agents, explicit conflict surfacing, and deterministic safety checks before synthesis, producing an editable first draft rather than an autonomous note. In a single-center medical ICU cohort, 5 physicians completed 100 reviews of 84 agent-drafted briefs. Among adjudicable claims, 98.8% were verified and 1.2% were incorrect; 88% of briefs had no pertinent omission, and mean PDSQI-9 quality was 4.20/5. PAUSE-Agents surfaced 118 conflict warnings and 421 safety flags, making documentation inconsistencies visible before handoff. An o4-mini PDSQI-9 judge showed limited case-level discrimination but supported aggregate monitoring. We release PAUSE-Agents and its clinician evaluation application.

Identifiers

PMID42528499
PMCPMC13409233

What OpenQuestion holds

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Registered trials

None linked

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.