181 Hours and $4,500 Saved: Inside One Weight Loss Trial With Inato
In highly-competitive weight loss studies, time is of the essence. Learn how Pantheon Clinical Research used Inato’s AI patient pre-screening to give their team an edge.
The Challenge
Pantheon Clinical Research faced dual challenges as they approached a recent weight loss trial: rapid enrollment was essential, and the dozens of patients to be assessed had long, clinically complex medical records.
Manually, it would take three hours per record—or over 180 hours total—to assess everyone’s eligibility. The team needed a solution that would help them move faster to identify the right patients, without compromising on quality or compliance.
The Inato Impact
The Pantheon team turned to Inato’s AI patient pre-screening to help accelerate screening and enrollment.
Our platform automated patient assessments for over 60 patients, providing an evaluation for each inclusion and exclusion criteria, a rationale, and a link to the source within the patient record. These thorough assessments enabled the clinical research coordinator to determine eligibility in just a few minutes per patient, saving weeks of work.
Additionally, Inato’s AI patient pre-screening quickly ruled out 22 patients as ineligible. This early filtering avoided wasted resources and freed the team to focus on the patients most likely to enroll.
By the Numbers
Using Inato on this trial, Pantheon Clinical Research:
- Slashed chart review times from roughly three hours to five minutes per patient
- Saved 181 cumulative hours (the equivalent of about 4.5 weeks of full time work)
- Saved $4,521 in clinical research coordinator labor hours on a single trial
- Achieved a 97.5% screening success rate in a complex patient population
Learn more about how Inato’s AI patient pre-screening can help your site save time and resources, identify more eligible patients, and deliver strong enrollment outcomes across your portfolio: https://www.inato.com/patient-pre-screening
