Clinical Trial Matching

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

High-impactSource: a) High-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Health and Medical

Operational functions

Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

The trial matching rate at the VA is very low. Many patients aren't aware of the possible trial opportunities. National Oncology Program has clinical trial coordinator manually reviewing patients' information and trial information to decide which trials are potential matches for the patients that are interested. This process is very time consuming, usually takes over an hour per patient. We intend to use AI to speed up the process and recommend potential trials, so that the trial coordinator is able to help more patients with the same amount of time. The tool will match patients with clinical trials that they are potentially eligible for.

Expected benefits

This tool can enhance patient outcomes, save cost, and increase efficiency. Patients are more likely to enroll in clinical trials, the trial coordinator would be able to help more patients with the same amount of time, and clinical trials could receive a higher enrollment rate.

System outputs

The patient ratings for each clinical trial; whether patients are a strong match, a potential match, or not a match; the reasons for the match determination.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported