Optimum Patient Care and Pangaea Data launch AI quality improvement partnership

Sep. 23, 2026
By AI, Created 07:00 UTC, Sep 23, 2026, AGP -

Optimum Patient Care and Pangaea Data said Tuesday they are teaming up to help healthcare organizations find care gaps, act on them inside clinical workflows and measure the impact at scale. The collaboration combines Pangaea’s guideline-configured AI platform with OPC’s quality improvement network and independent evaluation capabilities.

Why it matters: - The partnership targets a persistent problem in healthcare: patients who meet guideline criteria for screening, treatment or trials but are missed because their data are buried in longitudinal electronic health records. - The companies aim to turn detection into action, then into evidence, so healthcare organizations can show clinical, operational and economic impact from quality improvement work. - The model is designed to work across multiple diseases and healthcare settings, making it potentially reusable at scale.

What happened: - Pangaea Data and Optimum Patient Care announced a strategic collaboration in London on September 23, 2026. - The two organizations plan to deliver an AI-enhanced quality improvement solution for healthcare organizations. - The platform is intended to identify unmet clinical need, close care gaps and demonstrate measurable impact at scale. - The collaboration combines Pangaea’s guideline-configured AI platform with OPC’s global quality improvement network.

The details: - Pangaea’s platform runs inside a healthcare organization’s electronic health record environment and behind the firewall. - The system automatically processes patient records and reasons against guidelines and protocols to surface patients who may be in care gaps. - The platform has been validated across numerous hard-to-diagnose conditions and disease areas. - Pangaea says the system has shown high accuracy, usability and performance compared with alternative approaches, including prompting large language models. - The platform is designed to help quantify screening gaps, treatment gaps, clinical trial matching opportunities and patient cohorts needing immediate attention. - Clinicians receive an at-a-glance summary of the evidence supporting a potential care gap, along with next-step considerations for review. - The workflow is intended to support screening, testing, treatment, trial consideration, referrals and multidisciplinary team preparation. - The system also tracks patients through testing, treatment and follow-up to highlight unresolved gaps at the individual and population level. - OPC brings established healthcare site networks focused on quality improvement. - In the UK, OPC’s model supports the Optimum Patient Care Research Database, which includes more than 1,200 primary care sites and more than 30 million de-identified patients. - The database is available for ethically approved research. - The Observational & Pragmatic Research Institute can independently evaluate and publish the program’s impact. - OPC will provide direct support to participating sites to help translate identified opportunities into sustainable practice improvements. - Participating organizations can be independently assessed against relevant quality indicators. - The collaboration is positioned to support recognition and accreditation of sites as centers of excellence.

Between the lines: - The partnership is as much about implementation as it is about AI discovery. - The companies are trying to close the gap between finding missed patients and changing clinical behavior inside existing workflows. - Independent evaluation is a key part of the pitch, suggesting both organizations want the program to be measurable and publishable, not just operational. - The focus on quality indicators and recognition signals a path for healthcare systems that want proof of improvement, not only technology deployment.

What’s next: - OPC and OPRI will support longitudinal outcomes evaluation, health economic analysis and publication. - The organizations say the program is intended to create a repeatable quality improvement model that can be used across diseases and care settings. - Participating healthcare organizations may use the collaboration to demonstrate progress against quality standards and guidelines.

The bottom line: - Pangaea Data and Optimum Patient Care are pairing AI-based gap detection with quality improvement infrastructure to move from missed care to measurable change.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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