AI Chatbot for Prostate Radiation Therapy Patient Education
Clinical Evaluation of Large Language Model (LLM) Methods to Support Prostate Cancer Radiation Therapy Patient Education
This study will evaluate whether an artificial intelligence chatbot can help patients better understand radiation therapy for localized prostate cancer. Participants will be adults with prostate cancer who are planning definitive radiation therapy at Brigham and Women's Hospital.
All participants will receive standard radiation therapy education and clinician-led discussions as part of routine care. In addition, participants will interact with an educational chatbot about prostate cancer radiation therapy. The chatbot is designed to provide plain-language information about treatment logistics, preparation, possible side effects, follow-up, and when to contact the care team. The chatbot will not provide diagnosis, treatment recommendations, individualized medical advice, or replace conversations with clinicians.
Participants will complete questionnaires before and after using the chatbot. The study will measure changes in patient understanding, confidence in managing symptoms, usability of the chatbot, and safety-related concerns identified during clinician review of chatbot responses.
연구 개요
연구 유형
등록 (추정된)
단계
- 해당 없음
참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:
- Age 18 years or older
- Current diagnosis of prostate cancer
- Planning to receive definitive prostate cancer radiation therapy at Brigham and Women's Hospital Department of Radiation Oncology
- English-speaking
- Ability to understand and willingness to provide informed consent
Exclusion Criteria:
- Adults unable to consent independently
- Individuals who are not yet adults
- Prisoners
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 지지 요법
- 할당: 해당 없음
- 중재 모델: 단일 그룹 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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실험적: AI Chatbot Educational Intervention
Participants will complete baseline questionnaires, interact with the LLM-based prostate radiation education chatbot, and then complete post-intervention questionnaires.
The chatbot is used in addition to standard radiation therapy education and clinician-led discussions.
|
Participants will interact with an LLM-based educational chatbot focused on prostate cancer radiation therapy. The chatbot provides plain-language information about treatment logistics, preparation, expected follow-up, possible urinary, bowel, sexual, and hormonal side effects, symptom monitoring, and when to contact the care team. The chatbot is used as an adjunct to standard radiation therapy education and clinician-led discussions. The chatbot is based on ChatGPT 5.2 deployed within a secure Mass General Brigham Azure environment and configured with physician-reviewed educational source materials and safety guardrails. It is designed to provide educational information only and does not diagnose, recommend treatment choices, provide individualized medical advice, or alter clinical management. Participant interactions will not be used to train, fine-tune, or update the underlying foundation model. |
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Change in PROMIS Self-Efficacy for Managing Symptoms Score
기간: Baseline before chatbot interaction to immediately after chatbot interaction during the same study session
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Within-participant change in symptom self-efficacy will be measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) Self-Efficacy for Managing Symptoms instrument.
Scores are reported as PROMIS T-scores, with a mean of 50 and standard deviation of 10 in the reference population.
Higher scores indicate greater confidence in managing symptoms, which is a better outcome.
There is no fixed minimum or maximum T-score, although typical PROMIS T-scores generally range from approximately 20 to 80.
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Baseline before chatbot interaction to immediately after chatbot interaction during the same study session
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- 26-198
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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