BEKPLATFORM CASE STUDY
BEKhealth’s AI-Driven Approach Accelerates Trial Enrollment
A Southeastern U.S.-based medical research network faced significant challenges in recruiting patients for an Alzheimer’s study evaluating a new drug. With over 121,000 patient charts, the network struggled to identify eligible participants quickly enough to meet tight enrollment deadlines. Traditional manual processes were slow and error-prone, and social media outreach wasn’t effectively reaching the right patients.
Our Approach
BEKhealth stepped in with a data-driven solution. By utilizing advanced patient identification and chart abstraction capabilities, BEKplatform sifted through vast EHR data to pinpoint 1,500 clinically qualified patients. This automated process was far more efficient than manual methods and provided our partner with a ready pool of candidates for engagement through AIpowered outreach, enabling timely, multi-touch communication and selfs-cheduling for screenings.
Our Results
- Faster Enrollment: Over 3 days, 19% of 500 contacted patients responded, with 69% eligible, and 55 screening visits scheduled. The trial cohort was filled in 2 weeks, 6x faster than forecasted.
- Higher Conversion Rates: Patients identified through BEKhealth’s data-driven approach enrolled at a 3x higher rate than those recruited via social media.
- Improved Efficiency: Automated data processing and AI-driven outreach reduced the burden on the site, saving more than 100 hours of staff time, enhancing capacity and speed.
- Enhanced Patient Experience: Automated scheduling and timely communication resulted in a smoother, more positive experience for participants.
The impact of AI-powered recruitment:
1,500
Clinically-qualified patients identified
58%
Conversion rate from outreach to screening visits
6x
Faster enrollment than forecasted
“Revolutionary to the industry. Game-changing to my operations.” – Site CEO