Mayo Clinic in Rochester
Rochester, Minnesota, 55905, United States
Completed
NCT Number: NCT06182332
An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care
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.
Completed
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Notify MeKey information
Age range
18 year and older
Sex eligibility
All sexes
Study type
Interventional
Phase
Not applicable
Primary location
About this study
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.
Who can participate
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
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
Treatment and study plan
Electronic Health Record Review
OtherUndergo medical record review
Internet-Based Intervention
OtherUse AI algorithm
Primary outcomes
-
Timely identification for need of palliative care
Time frame: Up to 6 months
Will be measured as time to the electronic record of consult by the palliative care team in the outpatient setting.
Secondary outcomes
-
Number of palliative care consultations
Time frame: Up to 6 months
Number of palliative care consultations will be assessed as the number of participants who receive palliative care consultations.
-
Number of advanced care planning notes documented in the electronic health record
Time frame: Up to 6 months
Participant electronic health records will be reviewed for the number of advanced care planning notes listed.
-
Number of billing codes International Classification of Diseases, 10th Revision for palliative care
Time frame: Up to 6 months
Participant electronic health records will be reviewed for the number of International Classification of Diseases, 10th Revision (ICD-10) billing codes for palliative care.
-
Positive predictive value of screened patients
Time frame: Up to 6 months
Will be assessed as the number of patients identified by Artificial Intelligence algorithm who actually received palliative care consultation.
-
Performance metrics on reviewer/oncologist handoff
Time frame: Up to 6 months
Will be assessed by agreement statistics and descriptive statistics on time between oncology contact and oncology response.
Sponsors and collaborators
Lead sponsor
Mayo Clinic
Other
Registry information
Official study title
Piloting an Artificial Intelligence Algorithm Used to Identify Patients in Need of Outpatient (or Ambulatory) Palliative Care in an Oncology Population
Important dates
- Study start
- 2023
- Primary completion
- 2024
- Study completion
- 2024
- First posted
- Dec 26, 2023
- Registry last updated
- Apr 4, 2025
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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