Privia Health, a healthcare organization based in Arlington, Virginia, operates in 15 states and the District of Columbia. It focuses on building provider networks with primary-care centric medical groups, risk-bearing entities, and a physician-led governance structure.
Facing Challenges:
The clinics and IT setup of Privia Health were facing several challenges that affected both providers and operational efficiency. Executive Vice President and Chief Technology Officer, Chris Voigt, highlighted some of the key issues. Provider burnout and administrative burden were top concerns as providers were spending too much time on tasks that didn’t directly involve patient care. Additionally, there was a need for automation in tasks that could be handled more efficiently by technology. Data silos and inaccessibility hindered effective care delivery, and back-office operations required further automation to enhance efficiency.
Proposed Solutions:
Artificial intelligence (AI) and other advanced technologies were identified as potential solutions to the challenges faced by Privia Health. Voigt emphasized the importance of finding the right technology amidst the influx of AI offerings in the market. AI tools embedded in the primary EHR platform from vendor athenahealth showed promising results in areas such as document classification, medication deduplication, and insurance selection. The organization also piloted patient experience tools to improve overall experience and reduce provider documentation time.
Meeting the Challenge:
The implementation of AI technologies, such as the Navina platform, brought measurable success to Privia Health. The AI tools helped streamline documentation and coding processes, resulting in improved efficiency and reduced administrative burden for providers. The organization saw significant improvements in front- and back-office optimizations, as well as a reduction in insurance-related denials. The integration of AI technologies created a cohesive ecosystem that supported efficient and high-quality healthcare delivery.
Results and Advice:
The Navina AI platform led to an 84% addressed rate for coding suggestions, with nearly 90% of active members within the provider network adopting the tool. The implementation of AI tools resulted in front- and back-office optimizations, reduced insurance-related denials, and improved patient care. Voigt advised other organizations to involve providers in the evaluation and implementation of AI technologies, establish workgroups for developing AI policies, and continuously review vendors and capabilities to stay ahead in the rapidly evolving AI landscape.
In conclusion, Privia Health’s successful integration of AI technologies has significantly improved operational efficiency, reduced administrative burden, and enhanced patient care delivery. By leveraging advanced technologies, the organization has set a precedent for utilizing AI to address challenges in the healthcare ecosystem seamlessly.
