Speaker Profile

PhD, CTO, Cozeva - ARW

Rosh Singh has over a decade of experience in driving innovations in biomedical engineering and healthcare, navigating complex operational and data challenges to implement solutions at scale. He is particularly recognized for streamlining areas such as value based care, risk adjustment, and population health through Cozeva, the flagship product of Applied Research Works, where he serves as the CTO. This product caters to over 18 million patients and collaborates with an expansive network of primary care providers, health plans, and provider organizations. Singh's innovative approach to seamlessly integrating data driven solutions into care delivery has been pivotal in transforming healthcare outcomes and reducing burdens on care teams.

Elevating Care Quality Beyond Reductionist Measures
Current care quality measures often simplify complex care scenarios for easier tracking. With AI advancements, a balanced approach now facilitates nuanced pointofcare assessments, promoting alignment with broader reporting mandates. This direction not only enhances precision but fosters a more accurate reflection of care quality.

AI and Data Sciences Showcase:
Cozeva - ARW

Cozeva, a payer and EHR agnostic cloud SaaS pop health and analytics platform utilizing FHIR, aggregates clinical data in 20 states for 50+ provider organizations and 10 health plans. It offers real-time point-of-care insights, enhancing care quality and risk management, benefiting 18 million members nationwide.

 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S1 - January 24 9.00 A.M.-4.45 P.M.,Showcase Track S1 - January 25 9.45 A.M.-4.00 P.M.,Showcase Track S1 - January 26 11.00 A.M.-3.45 P.M.

The PMWC 2024 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.


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