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Clinical Trial NCT07491068 (CLEAN) for Hospitalizations is not yet recruiting. See the Trial Radar Card View and AI discovery tools for all the details. Or ask anything here.
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The Accuracy and Efficacy of Large Language Model Written Hospital Course Summaries (CLEAN) 786 Randomized Minimal Risk

Not yet recruiting
Clinical Trial NCT07491068 (CLEAN) is an interventional study for Hospitalizations and is currently not yet recruiting. Enrollment is planned to begin on 1 June 2026 and continue until the study accrues 786 participants. Led by Pavol Jozef Safarik University, this study is expected to complete by 31 December 2027. The latest data from ClinicalTrials.gov was last updated on 24 March 2026.
Brief Summary
Background: Physicians worldwide face an increasing administrative burden that diverts time from direct patient care. Among inpatient documentation tasks, authoring hospital course summaries is particularly time-consuming and critical for safe care transitions. Large language models (LLMs) have shown promise for clinical text generation; however, robust evidence from randomized, evaluator-blinded trials conducted in ...Show More
Detailed Description
The World Health Organization has identified a severe global health workforce crisis, estimating a shortage of approximately 12.7 million physicians worldwide in 2020. Projections indicate that this deficit will continue to worsen in the coming years \[1\]. Furthermore, these shortages occur alongside rising healthcare demand driven by population ageing and the increasing prevalence of multimorbidity. Despite that, a...Show More
Official Title

Safety and Workflow Impact of Large Language Model-Assisted Hospital Course Summaries: Protocol for a Randomized, Evaluator-Blinded Non-Inferiority Trial

Conditions
Hospitalizations
Publications
Scientific articles and research papers published about this clinical trial:
Other Study IDs
  • CLEAN
  • 2IK2026_1
NCT ID Number
Start Date (Actual)
2026-06-01
Last Update Posted
2026-03-24
Completion Date (Estimated)
2027-12-31
Enrollment (Estimated)
786
Study Type
Interventional
PHASE
N/A
Status
Not yet recruiting
Keywords
generative large language models
automated discharge summary
AI
documentation
Electronic health records
Primary Purpose
Health Services Research
Design Allocation
Randomized
Interventional Model
Parallel
Masking
Single
Arms / Interventions
Participant Group/ArmIntervention/Treatment
ExperimentalLLM assisted
The intervention consists of an LLM assisted workflow for generating the hospital course summary at discharge. The treating physician initiates discharge using an application - CorteVision Hospital Suite - connected to the hospital Informix database. The output of the model - generated draft is returned to the application interface, where the treating physician reviews and may edit, correct, expand, or shorten the te...Show More
LLM assisted workflow for generating the hospital course summary
The intervention consists of an LLM assisted workflow for generating the hospital course summary at discharge. The treating physician initiates discharge using an application - CorteVision Hospital Suite - connected to the hospital Informix database. The output of the model - generated draft is returned to the application interface, where the treating physician reviews and may edit, correct, expand, or shorten the te...Show More
No InterventionControl
Standard, manual generation of hospital course summary manually by responsible physician.
N/A
Primary Outcome Measures
Outcome MeasureMeasure DescriptionTime Frame
Safety assessed by outcome evaluator on an ordinal scale (1,2,3)
Safety will be assessed using an ordinal scale ranging from "acceptable without further changes", through "acceptable with minor revisions", to not "unacceptable in its current form" ( a combination of either absence of important information or presence of incorrect/hallucinated information)
Assessment at one time point - hospital discharge (up to 5 days)
Secondary Outcome Measures
Outcome MeasureMeasure DescriptionTime Frame
Safety of the edited and unedited LLM generated course summaries evaluated on an ordinal scale (1,2,3)
Safety of LLM-generated, resident-edited and un-edited hospital course summaries compared with standard specialist-written documentation. Safety, will be assessed using an 3 categories ordinal scale ranging from "acceptable without further changes" (best outcome), through "acceptable with minor revisions" (uncertain outcome), to "not unacceptable in its current form" (absence of important information or presence of incorrect/hallucinated information; worst outcome)
At hospital discharge (up to 5 days)
Secondary outcome: Content validity across the following predefined domains (5C).
Secondary outcomes measures: detailed evaluation of quality across the following predefined domains (5C): completeness, conciseness, cohesiveness, absence of critical errors (including hallucinations), and cultural and linguistic fidelity. Individual domains will be separately assessed using a 5-point Likert scale, (1 - complete absence of agreement, 2 - partial absence of agreement, 3 - neutral agreement, 4- partial agreement, 5- complete agreement)
At hospital discharge (up to 5 days)
Time to complete hospital summary (seconds)
Workflow-related secondary outcomes include time efficiency of hospital course documentation when using the LLM-generated workflow compared with standard practice. The outcome measure will be the time taken to complete the hospital course summary (seconds), from initiating discharge to "ready to signing".
At hospital discharge (up to 5 days)
Generation stability assessed on an ordinal scale (1,2,3)
Generation stability will assess the consistency of LLM generated unedited hospital course summaries when the model is applied repeatedly to identical source clinical documentation. Generation stability will be evaluated by the same adjudicator on the scale of 1 - stable, 2 - acceptable variation, 3 - unacceptable variation
From hospital discharge to 30 days after hospital discharge
Adoption. Percentage of hospital discharges where the LLM generated course summary was utilized.
After completing the randomized controlled trial, the adoption of the LLM-generated workflow will be evaluated over a one-month period. The outcome measure will be defined as the proportion of eligible discharges for which LLM-derived summary generation was utilized.
From hospital discharge to 30 days after hospital discharge
Inter-rater reliability. Percentage agreement between two adjudicators of a hospital course summary on safety and content validity ratings.
Reliability-related outcomes will assess the consistency of expert evaluations of hospital course summaries. Percentage will quantify the agreement between evaluators on safety and content validity ratings.
From hospital discharge to 30 days after hospital discharge
Intra-rater reliability. Concordance of safety and content validity ratings between two evaluations of the same hospital course and same adjudicator.
Intra-rater reliability will quantify the consistency of repeated evaluations by the same evaluator based on the concordance of safety and content validity ratings (percentage of agreement)
At hospital discharge (up to 5 days)
Temporal stability (test-retest reliability) - concordance between the ratings of the same adjudicator after washout period.
Temporal stability of evaluator judgments will be assessed through repeated evaluation of identical hospital course summaries by the same evaluator after a predefined 30 day washout period (test-retest reliability). Outcome measures will be based on the concordance of safety and content validity ratings (percentage)
30 days after hospital discharge
Participation Assistant
Eligibility Criteria

Eligible Ages
Adult, Older Adult
Minimum Age
18 Years
Eligible Sexes
All

- All consecutively discharged patients, including those who died during hospitalization, will be eligible for inclusion.

  • No exclusion criteria
Pavol Jozef Safarik University logoPavol Jozef Safarik University
Louis Pasteur University Hospital, Košice logoLouis Pasteur University Hospital, Košice
Study Responsible Party
Martin Janičko, Principal Investigator, Associate professor, Pavol Jozef Safarik University
Study Central Contact
Contact: Jakub Gazda, MD, PhD, +421556403517, [email protected]
Contact: Martin Janicko, MD, PhD, +421556403527, [email protected]
1 Study Locations in 1 Countries

Košice Region

Louis Pasteur University Hospital Kosice, Košice, Košice Region, 04001, Slovakia