Agent Claire empowers clinicians to act faster, reduce risk, and improve operational performance
SAN FRANCISCO, April 28, 2026 /PRNewswire/ — Verana Health®, a digital health company focused on transforming patient care and clinical research through real-world data (RWD), announced the launch of a new artificial intelligence (AI) agent named Agent Claire. This innovative tool is designed to streamline the complex process of submitting data for the Merit-based Incentive Payment System (MIPS), which is linked to Medicare reimbursement. By enhancing reporting efficiency, reducing risks, and improving operational performance, Agent Claire is now integrated into the Quality Measures Dashboard application for members of the American Academy of Ophthalmology’s IRIS® Registry.
The MIPS program incentivizes quality and cost-efficient healthcare by linking Medicare payments to a clinician’s performance across various categories. However, the program’s intricate reporting requirements and frequent regulatory changes place a significant burden on medical practices striving for compliance.
Agent Claire aims to alleviate these challenges by leveraging Verana Health’s extensive experience in guiding medical practices towards MIPS compliance and optimization. The AI agent’s advanced capabilities are tailored to assist practices in accurately submitting MIPS data while keeping them informed about evolving reporting requirements, quality measures, performance thresholds, and other essential program details. By unifying data to provide actionable insights, Claire enables clinicians to efficiently meet MIPS requirements while maintaining a primary focus on patient care.
“Building and incorporating AI agents into applications for our customers offers significant productivity improvements as well as potential competitive advantages,” stated Sujay Jadhav, CEO of Verana Health. “The market is shifting from disconnected automation toward systems that think, predict, and act in real time. As a leader in real-world evidence innovation, we continue to broaden and amplify our capabilities for the life sciences community.”
Dr. Stephen McLeod, Chief Executive Officer of the American Academy of Ophthalmology, remarked, “Our first priority is to steer the MIPS program towards meaningful improvement in quality of care for patients while minimizing the burden on physicians as they demonstrate the highest levels of performance. This initiative from Verana is an important step towards that latter goal.”
Verana Health’s commitment to enhancing the functionality of Agent Claire extends across its software-as-a-service (SaaS) applications for life science organizations. The company emphasizes that improving research and development productivity remains a top priority amid ongoing industry headwinds and rising costs. According to Deloitte, leaders in biopharma and medtech generally anticipate that AI will significantly boost organizational efficiency in 2026, with 78% expecting it to play a central role in driving substantial change.
While AI maturity is still an aspiration for many organizations, the most notable progress has been in integrating AI tools into daily workflows to enhance productivity. In light of these developments, Verana Health is hosting a webinar titled From Rescue to Resilience: Boost Efficiency and Compliance in MIPS Submissions on Thursday, May 14, to delve deeper into the topic.
About Verana Health
Verana Health, Inc.® is a digital health company that is revolutionizing patient care and clinical research by utilizing physician expertise and artificial intelligence to unlock the full potential of real-world data. With exclusive access to the world’s largest patient data sources in oncology, ophthalmology, neurology, and urology, Verana Health powers real-world evidence generation. Clinicians rely on these insights to enhance the quality of care and quality of life for patients, while life sciences companies utilize the data to accelerate the development of new therapies. For more information, visit www.veranahealth.com.
SOURCE Verana Health
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