Clinical trial · Interventional
An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care
Piloting an Artificial Intelligence Algorithm Used to Identify Patients in Need of Outpatient (or Ambulatory) Palliative Care in an Oncology Population
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Advanced Malignant Female Reproductive System Neoplasm | Malignant Female Reproductive System Neoplasm | CURATED_BROADER | 0.78 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Electronic Health Record Review | Other | — | UNRESOLVED |
| Internet-Based Intervention | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Screening (AI algorithm)
- description
- Patients' medical records are reviewed for consideration of palliative care consult using AI algorithm QW for 6 months.
- interventionNames
- Other: Electronic Health Record Review
- Other: Internet-Based Intervention
Primary outcomes (1)
- measure
- Timely identification for need of palliative care
- timeFrame
- Up to 6 months
- description
- Will be measured as time to the electronic record of consult by the palliative care team in the outpatient setting.
Secondary outcomes (5)
- measure
- Number of palliative care consultations
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available