Active — Not RecruitingNot Applicable

Better Real-time Information on Documentation of Goals of Care for Engagement in Serious Illness Communication

United States60 participantsStarted 2025-09-15

Plain-language summary

The goal of this study is to test the accuracy of Large Language Model-generated serious illness communication (SIC) summaries, the feasibility of delivering the SIC summaries, and to collect perspectives on the SIC summaries from clinicians and participants with cancer. Large Language Models (LLMs) are artificial intelligence programs that can perform various natural language processing tasks.

Who can participate

Age range18 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Exclusion criteria

✕Patients with elective inpatient admissions (typically for chemotherapy or other treatments)
✕The clinician fills one of the following roles for the enrolled patient:

What they're measuring

Serious Illness Conversation (SIC) summary accuracy

Timeframe: 1 week

Trial details

NCT IDNCT07147023

SponsorDana-Farber Cancer Institute

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2026-04-15

View on ClinicalTrials.gov More Advanced Cancer trials