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A Simulated Case Study of a Peritoneal Dialysis-Specialized Large Language Model Assisting Doctors in Improving Decision-Making in Peritoneal Dialysis Management

Generative AI-Assisted Understanding and Decision Enhancement in Peritoneal Dialysis: A Randomized Controlled Trial (The GUIDE-PD Trial)

Status
Enrolling by invitation
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07724327
Enrollment
100
Registered
2026-07-24
Start date
2026-07-10
Completion date
2026-09-30
Last updated
2026-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Large Language Models, Peritoneal Dialysis (PD)

Brief summary

This study is a randomized controlled trial based on simulated clinical cases, aiming to establish a standardized evaluation system for PD physicians, to assess the differences in PD management quality between a workflow assisted by a PD-specialized large language model and physician-only decision-making, and to identify potential risks (such as generating obviously erroneous or even harmful recommendations). This simulated clinical case framework not only supports standardized and blinded evaluation, but also provides preliminary evidence for the model's effectiveness and safety before its deployment in real clinical settings, while avoiding direct impact on real patients.

Interventions

The peritoneal dialysis-specialized large language model (PD-LLM) used in this study was jointly developed by the Department of Nephrology at the First Affiliated Hospital of Sun Yat-sen University and Digital Health China (DHC).

Sponsors

First Affiliated Hospital, Sun Yat-Sen University
Lead SponsorOTHER
Vantive Health LLC
CollaboratorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

1. Internal medicine or nephrology standardized training residents, licensed residents, or attending physicians. 2. Independent experience in PD management ≤ 3 years. 3. Provided signed informed consent and agreed to comply with the trial procedures.

Exclusion criteria

1. Direct involvement in the development or training of the specialized PD large language model, or in the construction of the clinical scenarios/ scoring criteria used in this trial. 2. Participation in the pilot testing of all clinical scenarios used in this trial. 3. Inability or unwillingness to access the study platform or use online resources during the study period. 4. Experienced PD experts.

Design outcomes

Primary

MeasureTime frameDescription
Management ReasoningWithin the 120-minute test period of the first test.Percent correct (range: 0 to 100) for each case.

Secondary

MeasureTime frameDescription
Domain-Specific ScoresWithin the 120-minute test period of the first test.Percent correct (range: 0 to 100) for each case in each domain.
Severity of Potential HarmWithin the 120-minute test period of the first test.The severity of potential harm will be classified as none, mild-to-moderate, or severe.
Time per Scenario CaseWithin the 120-minute test period of the first test.The time (in seconds) participants spend per case.
Self-Reported Confidence per CaseWithin the 120-minute test period of the first test.Scale 1-10. 10 represents being very confident.
Difference between the Phys group's scores when tested with PD-LLM assistance and when assisted only by traditional search methodsAfter 1-2 months of washout of first testrange from -100 to 100

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 25, 2026