AI-Assisted Clinical Trial Recruitment

Trial Scanner improves the efficiency of digital patient outreach through advanced audience modeling and optimized advertising delivery. Participation is entirely voluntary and begins only when an individual responds to a recruitment message.

FDA Guidance Aligned
IRB Oversight Compatible
HIPAA Compliant
FTC Standards

From Audience Modeling to Sponsor Referral

Step 1

Audience Modeling

The system analyzes publicly available digital engagement patterns to identify audience segments where trial information is likely to be relevant.

Step 2

Digital Outreach

Recruitment campaigns are delivered through standard digital advertising platforms such as social media networks and search engines.

Step 3

Voluntary Response

Individuals encounter recruitment messages within their normal online environments and may choose whether to learn more.

Step 4

Pre-Qualification

Those who express interest are directed to a structured pre-qualification process to determine whether they may be appropriate candidates.

Step 5

Sponsor Referral

Qualified candidate information is transferred to the clinical site or sponsor according to the applicable data handling framework.

Clinical Trial Enrollment Is a Persistent Bottleneck

Many trials face difficulty completing enrollment on schedule. Sponsors cannot always identify enough potentially eligible participants quickly enough using conventional outreach methods. Inefficient campaigns consume budget without producing sufficient qualified inquiries, extending timelines and increasing operational costs.

Clinical researcher reviewing trial data

Low Outreach Efficiency

Standard advertising approaches often reach audiences with limited relevance to a specific trial, resulting in high cost per qualified inquiry.

High Cost Per Inquiry

Without structured audience modeling, recruitment campaigns can consume significant budget before identifying appropriate candidates.

Extended Enrollment Timelines

Delayed enrollment extends trial duration and increases operational costs, affecting the overall timeline for investigational programs.

Unstructured Intake Processes

Without a defined pre-qualification workflow, sponsors may receive inquiries that are difficult to evaluate or route efficiently.

AI-Assisted Audience Modeling and Compliant Outreach

Trial Scanner analyzes publicly available digital engagement patterns to identify audience segments where information about specific clinical trials is likely to be relevant. Recruitment campaigns are then delivered through standard digital advertising platforms. Individuals encounter recruitment messages within their normal online environments and may choose whether to learn more.

01

Audience Modeling

The system analyzes publicly available digital signals to identify environments where trial information may be relevant.

02

Compliant Advertising Delivery

Campaigns are delivered through standard platforms. Trial Scanner does not access medical records or private patient data.

03

Voluntary Engagement

Participation begins only when an individual responds to a recruitment message and chooses to learn more.

Explore the full pipeline
Trial Scanner platform interface
Individual reviewing clinical trial information

Voluntary Participation

Individuals choose whether to learn more

Patient Choice and Privacy at Every Stage

Trial Scanner does not access medical records, private patient data, or restricted communities. Participation in the recruitment process is entirely voluntary and begins only when an individual responds to a recruitment message. The platform is designed to preserve patient choice and privacy throughout the outreach process.

View Compliance Framework

5-Stage

Recruitment Pipeline

Multi-Channel

Digital Advertising Delivery

Structured

Pre-Qualification Workflow

Compliant

Regulatory Framework Alignment

Learn How Trial Scanner Can Support Your Program

Schedule a demonstration to see how the platform can be applied to your therapeutic area and enrollment goals.

Request a Demo