Revival Research decreased medical record retrieval turnaround time by over 80%

50%
Faster time-to-enroll
80%
Faster record turnaround
Revival Research is a leading clinical research organization, with sites across the United States, committed to delivering high-quality, efficient trial operations with a patient-centric approach. When supporting trial sponsors, the team recognized that enrollment was being delayed not by a lack of candidates, but by the administrative burden of medical record retrieval and review.
To accelerate timelines and improve accuracy, Revival Research adopted Predoc, a full-service medical record retrieval and data-structuring platform. The result: complete records returned faster, more efficient chart reviews from structured data, and a dramatically shorter enrollment process.
Before partnering with Predoc, Revival Research faced a common but costly bottleneck: delayed or unattainable medical records and time-intensive chart review hindered enrollment velocity.
“We had some studies where we had to screen-fail otherwise qualified patients because we couldn’t get their records; this is really frustrating for the patient, trial sponsor, and site.”
Nicole Stiff, Corporate Development and Business Operations Manager
Each site was responsible for recruiting, screening, and enrolling patients in complex, multi-phase studies for top global pharmaceutical companies, and enrollment hinged on the ability of a clinical team to review complete patient history. Before using Predoc:
These inefficiencies strained staff resources and risked patient dropout before enrollment could be completed.
Revival Research first discovered Predoc at the S.O.S. Conference in Oklahoma City. The promise of faster, more complete record retrieval and reduced hassle for staff stood out immediately.
“What convinced us to get started wasn’t just the faster chart turnaround time on record retrieval; it was how much less of a burden the entire process would be on our site team.”
One area where the team immediately understood the value beyond retrieval was the Facesheet, Predoc’s record analysis product. Customized to any single study, the Facesheet provides a single, consolidated view of how a patient’s medical records compare against study protocols. Each data point is cited back to the original source, making it easy for in-house clinicians to dig deeper.
“Our hypothesis was that the facesheets would make comparison to I/E criteria much easier to digest and understand for our team.”
The team decided to pilot at a single site with a single study, but demand grew organically.
“I had other sites calling the pilot site to ask to use Predoc to have their records requested in order not to lose their patients.”
Records came back faster and more complete, and Predoc’s structured Facesheets, which summarize key medical history in an intuitive clinical format, transformed how Revival’s staff engaged with chart data.
“The facesheets made the information so much easier to interpret. What used to take 60–90 minutes per patient was suddenly cut down to 20–30 minutes.”
After implementing Predoc for the single study, Revival Research saw measurable improvements and opted to scale across the entire network. These efficiencies did not just benefit site staff; they also improved the participant experience, enabling quicker movement from interest to enrollment and reducing dropout risk.
“Predoc changed the pace of our workflow, and made it easier for our staff to focus on what matters most: the patients.”
When complete records arrive in days rather than weeks and a structured Facesheet cuts review to a third of the time, clinical teams move otherwise-qualified patients from pre-screen to enrollment in half the time, with no one screen-failed for missing records. Structured, normalized, cited data is what let Revival redeploy staff attention to patients and scale the model network-wide.
Stop manually chasing and cleaning records. See how Predoc seamlessly integrates with your existing systems to deliver normalized, actionable data right when you need it.