A healthcare company so focused on improving the medical record review process that it developed a technological solution

Advent Health Partners was founded in 2010 in Nashville – both the hub of the healthcare industry and a technological incubator. We began as a provider advocate, recovering inappropriately denied third-party payer claims. As our business grew, our team of registered nurses, credentialed coders, and business analysts realized that they were spending the majority of their time sifting through medical record documentation to find the needed information – versus actually making the determination.

When we were unable to find technology that could help, we built our own solution in 2013. With developers shadowing our medical claims review team, Advent developed an enterprise medical record review platform that, shortly after implementation, boosted our productivity 500%. As we successfully excavated through vast amounts of disparate medical record data silos and turned them into actionable information, CAVO® – Latin for dig – was born. CAVO has been too valuable of an asset not to be shared. So today, we share our story, technology, and best practices with the healthcare community to accelerate appropriate reimbursement and improve productivity of review teams. We are what we do: driving maximum financial returns and operational insights through knowledge, technology, and collaboration.

Our story behind CAVO

Hear how our goal of increasing our team’s medical record review productivity led to the development of our proprietary enterprise platform, CAVO.

Our Security

Advent has successfully completed:

– SOC 2, Type II examination

– HITRUST CSF certification


Our View


Drive maximum financial returns

and improve operational efficiencies through knowledge, technology, and collaboration.



by removing barriers between healthcare providers and payers.

Our Leadership Team

Before forming Advent, we were high-end decision makers at both payer and provider organizations. With the common realization that health plans and hospitals face similar medical record review challenges, which burdens the process of determining appropriate reimbursement, we joined together and created our solutions as the Advent Health Partners team.

Mark Thienel


“Advent has the expertise, provider and payer experience, and the right technology to ensure claims are properly reimbursed. Our CAVO  platform is innovating how clinical claims are reviewed, data is extracted, and imaged claim information is shared. The entire market is benefiting!”

Bill Butler

VP – Engineering

“Document management systems completely miss the mark when it comes to search. How much good is a 3,000 page medical record if you are forced to read every page to perform a review? CAVO technology surfaces complex search terms in seconds, freeing you to spend your time to make determination decisions.”

Watch this video from IBM

Deborah Horne

VP – Operations

“Advent improves  your time to revenue by surfacing new business sources, realizing efficiencies through CAVO medical record review technology, and scaling your business. Clinical reviews are our niche.”

Read this article from NBJ

Tracie Martin

VP – Business Development

“The Advent team partners with healthcare organizations to provide services and technologies that increase denial prevention and improve denial management. Our business intelligence reporting, Optics, is tailored to each client to provide access to comprehensive data, healthcare expertise, and customized reporting dashboards – giving our clients an advantage to reduce future denials.”

Brandon Thompson

VP – Client Strategies

“Advent delivers valuable insight into the medical claims review process at every lifecycle point through our services and technology offerings. Our clients efficiently find determination data – giving them the opportunity to significantly improve revenue, maximize ROI, and increase productivity. And while we are helping solve these current reimbursement challenges, our CAVO technology platform also begins addressing tomorrow’s needs by capturing data and generating historical trends that can be leveraged for machine learning initiatives.”