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Effect of a Personalized AI Chatbot on Reducing Information Needs in Dialysis Patients with Kidney Disease

Evaluating the Quality of Large Language Model Responses to Kidney Disease-Related Questions from Online Communities

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0011656
Enrollment
60
Registered
2026-02-26
Start date
2025-10-17
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

None listed

Interventions

Behavioral : This is a three-arm randomized controlled trial evaluating the effectiveness of RAG (Retrieval-Augmented Generation)-based AI question-answering systems for dialysis patients with chronic

Sponsors

Seoul National University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: As an adult over 19 years of age, chronic kidney disease dialysis patients A person who can use a smartphone or computer Those who can use a text-based Q&A system (basic reading and writing capabilities) A person who understands the purpose and method of the study and agrees in writing

Exclusion criteria

Exclusion criteria: Patients unable to understand or make decisions about research due to cognitive impairment A patient who has difficulty communicating in Korean Patients with difficulty speaking or severe hearing impairments Patients who have difficulty participating in the study due to other severe comorbidities A patient with a kidney transplant

Design outcomes

Primary

MeasureTime frame
Changes in information needs by medication area;Changes in information needs by diet area;Changes in information needs by diagnosis area

Secondary

MeasureTime frame
KiKS (Kidney Knowledge Survey);CKD-SE (Chronic Kidney Disease self-efficacy);treatment compliance;SUS (System Usability Scale);system satisfaction;system reliability

Countries

Korea, Republic of

Contacts

Public ContactHeejeong Hwang

Seoul National University

hhj2831@snu.ac.kr+82-2-880-4662

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Mar 14, 2026