Clinical trial NCT06182332: An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care
Official title: Piloting an Artificial Intelligence Algorithm Used to Identify Patients in Need of Outpatient (or Ambulatory) Palliative Care in an Oncology Population
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Advanced Malignant Female Reproductive System Neoplasm
Lead sponsor: Mayo Clinic
Sponsor class: OTHER
First posted: 2023-12-26
Enrollment: 221
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: SCREENING

Brief summary: This clinical trial tests an artificial intelligence (AI) algorithm for its ability to identify patients who may benefit from a palliative care consult for gynecologic cancer that has spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced). A significant delay in referral to palliative care often occurs among patients with cancer. This delay can lead to poorer symptom management, decreased quality of life, and care that does not align with patient goals or values. AI algorithms are computer programs that use step-by-step procedures to solve a problem. In this trial, an AI algorithm is applied to patients' medical records in order to identify patients with a high burden of disease. Information gathered from this study may help researchers learn whether this AI algorithm is useful for identifying patients who could benefit from outpatient palliative care consultation.

Detailed description: PRIMARY OBJECTIVE:

I. 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.

OUTLINE:

Patients' medical records are reviewed for consideration of palliative care consult using AI algorithm once a week (QW) for 6 months.

Eligibility criteria: Inclusion Criteria:

* Adult patient in Enhanced, Electronic health record (EHR)-facilitated Cancer Symptom Control (E2C2) with a diagnosis of advanced gynecologic malignancy (International Classification of Diseases \[ICD\] codes C51 through C58)
* Weekly the reviewers will select patients by looking at patients in sorted order starting with the highest score and proceeding down the list and evaluating each patient for exclusion criteria

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

Primary outcomes:
measure: Timely identification for need of palliative care
timeFrame: Up to 6 months
Secondary outcomes:
measure: Number of palliative care consultations
timeFrame: Up to 6 months
measure: Number of advanced care planning notes documented in the electronic health record
timeFrame: Up to 6 months
measure: Number of billing codes International Classification of Diseases, 10th Revision for palliative care
timeFrame: Up to 6 months
measure: Positive predictive value of screened patients
timeFrame: Up to 6 months
measure: Performance metrics on reviewer/oncologist handoff
timeFrame: Up to 6 months
Other outcomes:
Locations:
city: Rochester
country: United States
facility: Mayo Clinic in Rochester
state: Minnesota
Study officials:
affiliation: Mayo Clinic in Rochester
name: Rachel D. Havyer, MD
role: PRINCIPAL_INVESTIGATOR
References: