This is a pragmatic, prospective, randomized clinical trial to test the effectiveness of large language model (LLM)-generated serious illness conversation (SIC) summaries delivered to patients' inpatient and outpatient clinicians at the time of hospital admission on the primary outcome of days in the hospital in the next 90 days.
The study will automatically enroll up to 600 DFCI patients with solid tumor cancers admitted to BWH inpatient medical oncology services with a predicted 90-day mortality risk of ≥ 25%. Patients will be randomized 1:1 to intervention vs control arms. The intervention arm will receive LLM-generated SIC summaries sent to their clinical teams, prompting incorporation of patient preferences into care plans. The control arm will receive standard of care. Outcomes will be followed for 90 days post-admission. The study uses a waiver of informed consent and HIPAA authorization due to minimal risk and the need for real-time identification and intervention delivery.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
600
An email containing a summary of prior serious illness conversations, generated by a large language model, is sent to the patient's clinical teams at admission, prompting review and discussion of care preferences.
Brigham and Women's Hospital
Boston, Massachusetts, United States
RECRUITINGDana Farber Cancer Institute
Boston, Massachusetts, United States
RECRUITINGNumber of Days in the Hospital
The number of days in the hospital is defined as the total number of inpatient days, including days from the index hospitalization and any subsequent hospital admissions during the follow-up period.
Time frame: 90 days after randomization
Number of Hospital Readmissions
The number of hospital readmissions is defined as the total number of inpatient hospital readmissions, excluding the index hospitalization.
Time frame: 90 days after randomization
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