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Rubrum Advising announced the launch of Rubrum Solutions, an AI-native platform that transforms fragmented healthcare data at the moment of retrieval, delivering structured, decision-ready intelligence for prior authorization, benefits investigation and verification, and clinical and real world data workflows.
The platform addresses the health data challenge at its source by using its novel AI to clean, organize, and interpret structured and unstructured data—including PDFs and images—making it immediately usable across clinical, operational, and reimbursement workflows.
"Every clunky healthcare workflow depends on the same foundational issue: unorganized, incomplete upstream data," said Matthew Fleisher, JD, MPH, president and co-founder of Rubrum Advising. "By normalizing that data earlier in the process, Rubrum Solutions can unlock value everywhere—from access to clinical evidence to reimbursement for novel technologies."
Across healthcare, the absence of high-quality, structured health data remains a barrier to adoption of innovative technologies and therapies. Incomplete and unorganized patient information leads to coverage denials, delayed care, administrative burden, and lost revenue—impacting every downstream workflow from prior authorization to outcomes tracking.
"Health innovation is moving faster than coverage and access, and current administrative processes are delaying care every day," said Lee A. Fleisher, MD, ML, co-founder and CEO of Rubrum Advising. "With deep clinical, policy, and market access expertise, our team can see that gap, and how to address it, clearly. Expanding into software solutions is the natural next step to help people get better care sooner."
Rubrum Solutions launches with an initial suite of products that address some of healthcare's most persistent administrative challenges:
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