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Screening (AI algorithm) for Ovarian Cancer

N/A

Recruiting

Led By Rachel D. Havyer, M.D.

Research Sponsored by Mayo Clinic

Eligibility Criteria Checklist

Specific guidelines that determine who can or cannot participate in a clinical trial

Must have

Adult patient in Enhanced, EHR-facilitated Cancer Symptom Control (E2C2) with a diagnosis of advanced gynecologic malignancy (International Classification of Diseases [ICD] codes C51 through C58)

Be older than 18 years old

Timeline

Screening 3 weeks

Treatment Varies

Follow Up up to 6 months

Awards & highlights

Study Summary

This trial is testing a computer program called artificial intelligence (AI) to see if it can identify patients with gynecologic cancer that has spread and who may benefit from palliative care. Palliative care

Who is the study for?

This trial is for patients with advanced gynecologic cancer, such as genital warts or ovarian cancer. It's designed to see if an AI algorithm can identify those who would benefit from outpatient palliative care to manage symptoms and improve quality of life.Check my eligibility

What is being tested?

The study tests an AI algorithm that reviews electronic health records to pinpoint patients needing palliative care consultations. The goal is to reduce delays in referrals and ensure care aligns with patient goals.See study design

What are the potential side effects?

Since this trial involves a non-invasive review of medical records using an internet-based intervention, there are no direct physical side effects associated with the AI algorithm being tested.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

Select...

I have an advanced gynecologic cancer.

Timeline

Screening ~ 3 weeks3 visits

Treatment ~ Varies

Follow Up ~ up to 6 months

Screening ~ 3 weeks

Treatment ~ Varies

Follow Up ~up to 6 months

This trial's timeline: 3 weeks for screening, Varies for treatment, and up to 6 months for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.

Primary outcome measures

Timely identification for need of palliative care

Secondary outcome measures

Number of advanced care planning notes documented in the electronic health record

Number of billing codes International Classification of Diseases, 10th Revision for palliative care

Number of palliative care consultations

+2 more

Trial Design

1Treatment groups

Experimental Treatment

Group I: Screening (AI algorithm)Experimental Treatment2 Interventions

Patients' medical records are reviewed for consideration of palliative care consult using AI algorithm QW for 6 months.

0 / 1Eligibility criteria met

Find a Location

Who is running the clinical trial?

Mayo ClinicLead Sponsor

3,220 Previous Clinical Trials

3,767,551 Total Patients Enrolled

10 Trials studying Ovarian Cancer

3,508 Patients Enrolled for Ovarian Cancer

Rachel D. Havyer, M.D.Principal InvestigatorMayo Clinic in Rochester

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

Are patients currently eligible to participate in this ongoing clinical trial?

"According to the information available on clinicaltrials.gov, this particular clinical trial is not currently accepting new participants. The posting date for the study was January 1st, 2024, and it was last updated on December 13th, 2023. However, there are currently a total of 48 other trials actively seeking eligible candidates at this time."

Answered by AI

Recent research and studies

clinicaltrials.govStudy

An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care

2023. "An Artificial Intelligence Algorithm for Identifying Gynecologic Cancer Patients in Need of Outpatient Palliative Care". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT06182332.

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