A physician-led clinical escalation desk for denial and appeal operations.
Clinovian exists because there is a gap between what a coder, CDI specialist, or AI appeal tool can argue — and what requires genuine physician-level medical-necessity reasoning. That gap is the desk.
Dr. Arun Kasturi, MBBS
Founder. Physician with payer-side utilization-management review experience across 3,000+ U.S. commercial claims under InterQual and MCG licensed criteria frameworks. The operational experience of applying criteria, constructing medical-necessity determinations, and evaluating clinical evidence from the review side is the foundation of the desk's criteria-mapping methodology — and what distinguishes the output from standard appeal narrative.
Additional background in pharmacovigilance (ICSR medical review, adverse-event assessment, aggregate safety reporting) and clinical-regulatory methodology — relevant to the desk's pattern-intelligence and AI appeal quality-assurance work.
Pursuing LLB (law degree) and CFE (Certified Fraud Examiner) credentials — expanding the desk's capability into compliance-adjacent clinical analysis where denial patterns intersect with regulatory and legal frameworks.
The desk's clinical escalation methodology operates through a structured review process designed for consistency, quality, and licensure compliance:
This structure separates the clinical reasoning methodology (physician-led criteria mapping) from the licensure requirement (U.S.-licensed sign-off where needed). Both are disclosed transparently. Both are reflected in engagement scoping.
Physician-authored
Every escalation memo, P2P brief, and clinical QA review is authored by a physician — with coder, CDI, LNC, and AI workflows complemented rather than replaced.
Structured deliverables
Fixed-format outputs designed for handoff — your appeal writer receives the clinical argument, not a consulting memo they need to interpret.
Pattern intelligence
Every case feeds a proprietary denial-pattern library. Over time, the aggregate intelligence becomes as valuable as the individual memos.
The work speaks for itself.
Start with a 3-case pilot. See the output. Then decide.