Better Real-time Information on Documentation of Goals of Care for Engagement in Serious Illness Communication
BRIDGE-SIC
1 other identifier
interventional
60
1 country
2
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Sep 2025
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 21, 2025
CompletedFirst Posted
Study publicly available on registry
August 28, 2025
CompletedStudy Start
First participant enrolled
September 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 15, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2026
ExpectedApril 28, 2026
April 1, 2026
7 months
August 21, 2025
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Serious Illness Conversation (SIC) summary accuracy
Primary outcome: We will assess SIC summary accuracy by reviewing the source documentation for each bullet point of the 5 domains of the SIC summary. The RA will read each bullet point, read the source note for the date cited in the summary and indicate with a 1 (supported) or 0 (not supported) whether the documentation supports the summarized point. If a summarized point is scored as 0, the MPIs will independently review the item and assign a 1 or 0 to indicate whether the unsupported summary could negatively impact patient care. SIC summary accuracy will be determined at the patient level as the proportion of bullet points supported by underlying documentation divided by the total number of bullet points (i.e., a score from 0 to 1). We will determine the average SIC accuracy score across all patients for the study. We will also report the percent of LLM-SIC summary statements that are unsupported and clinically significant and provide qualitative descriptions of these instances.
1 week
Secondary Outcomes (4)
Feasibility (successful delivery of the intervention)
1 week
Clinician Perspectives of Clinical Utility
1 week
Participant Perspectives on Inpatient and Outpatient Clinician Understanding of their Care Preferences and Acceptability of SIC Summaries
1 week
New Documentation of SIC
1 week
Other Outcomes (6)
Length of hospitalization
1 week
Days in the hospital
90 days
Number of hospitalizations
90 days
- +3 more other outcomes
Study Arms (2)
Group A: LLM-Generated SIC Summary Email
EXPERIMENTAL45 participants will be randomized. Participants will have the option of completing a one-time in-person interview with study staff on their perceptions of SIC and the acceptability of LLM-generated summaries of SIC.
Group B: Usual Care
NO INTERVENTION15 participants will be randomized and will receive standard oncology care. Participants will have the option of completing a one-time in-person interview with study staff on their perceptions of SIC and the acceptability of LLM-generated summaries of SIC.
Interventions
A Large Language Model-based platform is integrated with the Health Vision Platform, a HIPAA-compliant, electronic health record data management system. Real-time summaries of prior SIC with be sent to clinicians caring for participants in the intervention arm. An email will be sent to the inpatient attending and responding clinician encouraging the team to review the SIC summary, discuss care preferences with the patient and ensure care is aligned with preferences and goals. If no SIC documentation is found, the email will instead encourage the outpatient oncologist to share information regarding undocumented SICs that may have occurred, as well as prompt inpatient and outpatient teams to engage the patient in SIC. For patients with no SIC documentation who are still admitted 72 hours later, the RA will send an additional email prompting SIC or asking the clinician to indicate that an SIC is not appropriate. Patients will also receive standard of care.
Eligibility Criteria
You may qualify if:
- Dana-Farber Cancer Institute participants
- Admission to an inpatient solid tumor medical oncology service at BWH (including beds that are considered to be DFCI beds within BWH)
- Age ≥ 18 years
- Mortality prediction ≥ 40%
- Admitted on a Sunday after 4pm, Monday or Tuesday before 4pm. These time restrictions are necessary for the workflow of this pragmatic pilot trial, as an individual will need to send out the intervention emails and interview patients approximately 48-72 hours after admission, both of which need to occur during the work week.
You may not qualify if:
- Patients with elective inpatient admissions (typically for chemotherapy or other treatments)
- The clinician fills one of the following roles for the enrolled patient:
- inpatient attending on the medical oncology team
- outpatient Dana-Farber medical oncologist
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Dana-Farber Cancer Institute
Boston, Massachusetts, 02115, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Christopher Manz, MD
Dana-Farber Cancer Institute
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
August 21, 2025
First Posted
August 28, 2025
Study Start
September 15, 2025
Primary Completion
April 15, 2026
Study Completion (Estimated)
October 31, 2026
Last Updated
April 28, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Data can be shared no earlier than 1 year following the date of publication
- Access Criteria
- Contact the Belfer Office for Dana-Farber Innovations (BODFI) at innovation@dfci.harvard.edu
The Dana-Farber / Harvard Cancer Center encourages and supports the responsible and ethical sharing of data from clinical trials. De-identified participant data from the final research dataset used in the published manuscript may only be shared under the terms of a Data Use Agreement. Requests may be directed to: \[contact information for Sponsor Investigator or designee\]. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.