Using An AI Algorithm To Identify Patients That Could Benefit From Palliative Care

Overview

About this study

The purpose of this study is to pilot an oncology risk prediction model to identify patients who may benefit from outpatient palliative care consultation to improve symptom management and goal-concordant care in this population. Additionally, to explicitly test whether the algorithm will help identify patients earlier that may otherwise not have been identified until a hospitalization or other further decline.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Adult patient in E2C2 with a diagnosis of advanced gynecologic malignancy (ICD codes C51 through C58).

Exclusion Criteria: 

  • Patients that have been seen by Palliative care will be excluded for 75 days
  • Patients under the age of 18 years.
  • Patients currently enrolled with hospice

Note: Other protocol defined Inclusion/Exclusion criteria may apply.

Eligibility last updated 9/7/23. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status

Rochester, Minn.

Mayo Clinic principal investigator

Rachel Havyer, M.D.

Closed for enrollment

More information

Publications

Publications are currently not available
.
CLS-20598319

Mayo Clinic Footer