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.
Inclusion Criteria:
Exclusion Criteria:
• Patients with elective inpatient admissions (typically for planned administration of chemotherapy or other treatments)
alexi_wright@dfci.harvard.edu6176322334
Patients receive an email sent to their inpatient and outpatient clinical teams containing an LLM-generated summary of prior SIC documentation, prompting clinicians to review and discuss care preferences with the patient and align care with patient goals.
Patients receive standard of care; SICs may be initiated by patients or clinicians as usual.
charlotta_lindvall@dfci.harvard.edu6175823491
Boston, Massachusetts 02214, United States
alexi_wright@dfci.harvard.edu617-632-2334
charlotta_lindvall@dfci.harvard.edu6175823401
Alexi_Wright@dfci.harvard.edu617-632-2334
Alexi_Wright@dfci.harvard.edu6176322334
Better Real-time Information on Documentation of Goals of Care for Engagement in Serious Illness Communication
Improving Care Delivery for Patients With Mental Illness and Cancer Across a Cancer Center Network
Assessment of a Serious Illness Conversation Guide (SICG) in Advanced Gastro-Intestinal Cancers
A Multilevel Intervention to Improve Adherence to Childhood Cancer Survivorship
Serious Illness Communication Project
Pathways to Advance Targeted and Helpful Serious Illness Conversations (PATH-SIC)
Bilingual Electronic Symptom Management Program Across Multi-site, Comprehensive Cancer Center
CancerLife: Patient-Driven Solution in Cancer Care