MRO Launches Prodigy™, an AI-Powered Engine for Clinical Registry Abstraction

New capability pairs AI-powered case finding, abstraction, and follow up, with MRO's clinical expertise to identify more eligible cases, reduce abstraction time, and deliver defensible clinical data for registries in healthcare.

NORRISTOWN, Pa., Sept. 23, 2026 /PRNewswire/ -- MRO, the leading clinical data management platform, today announced the launch of Prodigy, the advanced AI engine powering their fully-managed clinical registry abstraction solution for health systems.

Prodigy dramatically improves quality-program performance. It identifies more eligible cases, accelerates the registry abstraction workflow and automates 60%+ of data elements and allows MRO to maintain a 97%+ accuracy standard while expanding capacity and scaling performance. Prodigy-powered clinical data abstraction is available today for NCDR and STS with additional registries to follow.

Quality leaders are being asked to improve performance while managing exponential increases in the volume of clinical data, limited abstraction capacity, time-intensive workflows, and no tolerance for unreliable registry data. Manual-only processes miss eligible cases and struggle to keep pace, while automation alone may put data integrity at risk.

MRO combines AI-powered case finding and abstraction with clinical expertise and data integrity best practices to deliver complete, accurate, and defensible data that quality teams use to fuel performance improvement and inform strategy. Prodigy brings a proven, market-ready capability to organizations seeking meaningful registry results today. MRO's fully managed clinical data abstraction solution uses a collaborative intelligence model, pairing the nation's largest team of clinical data experts with advanced AI to drive efficiency in the registry workflows.

"Coming from an organization that values innovation, I am always excited to learn about new opportunities to leverage AI tools so humans can operate at the top of their skill sets. As the demand for data insight grows, we continuously rely on the critical thinking of educated humans to turn those insights into meaningful information to guide improvements," said Danielle Stephen, MSN, CPHQ, Manager of Performance Improvement at Tampa General Hospital. "Less time with tedious activities means more time for practical intervention. MRO's AI solutions, like Prodigy, yield not only pivotal time and cost savings but also better accuracy in case selection where every patient counts."

"Quality teams aren't short on ambition — they're short on staffing and time. Credentialed abstractors are hard to hire and harder to retain, and every hour one spends hunting through a chart for a single data element is an hour not spent on applying the judgment only they can provide," said Lidia Bernik, President of Curation Solutions. "Prodigy lets our abstractors switch from searching to validating, with every suggestion traced to its source in the record. That's how we help quality teams produce faster, more defensible data without asking them to trust a black box."

Built on MRO's 24+ years of clinical data experience, Prodigy is delivered as part of a fully managed service, backed by more than 1,200 clinical data experts, combining advanced AI with the scale, oversight and specialized judgment required for accurate, defensible registry data. Prodigy integrates with EHRs via modern, scalable methodologies which do not require a heavy burden on IT teams.

Prodigy is now available to MRO's health system clients as part of this fully managed abstraction model.

About MRO

MRO unlocks clinical data and puts it to work. MRO helps providers, payers, and other healthcare stakeholders securely exchange, curate, and activate clinical information across critical healthcare workflows. Through technology, automation, clinical expertise, and commitment to security and compliance, MRO helps make clinical data accessible, usable, and ready for action. For more information, visit www.mrocorp.com.

Media Contact
Nicole Hoy
MRO
[email protected] 

SOURCE MRO