Prior Authorization • Revenue Cycle • Patient Access

Prior Authorization in Seconds, Not Weeks

Prior authorization is one of the largest automation opportunities in U.S. healthcare: Medicare Advantage alone now handles nearly 50 million prior authorization determinations annually, and physician surveys report that over 9 in 10 clinicians see care delays tied to PA workflows. WhisperCare AI turns this high-friction, high-cost bottleneck into a scalable growth engine with clinically reliable automation, faster turnaround times, and measurable operating leverage.

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~50M

Prior authorization determinations per year in Medicare Advantage alone.

90%+

Physicians who report patient care delays associated with prior authorization.

40+

Prior auth requests completed per physician per week in typical practices.

~13 hrs

Weekly physician and staff time spent on prior authorization workflows.

Illustrative U.S. market indicators based on publicly reported Medicare Advantage utilization and physician survey data.

Purpose‑built for prior authorization

WhisperCare AI addresses one of healthcare’s largest operational bottlenecks with infrastructure designed for measurable financial impact, clinical reliability, and enterprise scalability.

Massive addressable market: U.S. healthcare spending exceeds $4.5T annually, making administrative workflow modernization a multi-billion-dollar efficiency opportunity.
High-volume prior authorization burden: Medicare Advantage alone drives nearly 50 million prior authorization determinations each year, with materially larger volume across commercial and Medicaid populations.
Clear economic pain: Physician surveys consistently report 40+ PA requests per week and roughly 13 hours of weekly physician/staff time, creating expensive labor drag and care delays.
Strong ROI pathway: Faster approvals and fewer manual touches can improve provider cash flow, reduce payer administrative expense, and lower avoidable medical-cost escalation.
How WhisperCare solves it: We combine policy intelligence, clinical-context retrieval, and explainable AI decision orchestration to increase throughput, improve decision quality, and support enterprise governance.

About Us

Experienced clinicians, payer operators, and AI experts building high-impact infrastructure for healthcare operations.

The team is made up of experienced clinicians, medical researchers, payers, and AI experts. Led by business professionals who have previously built billion‑dollar companies and helped put Medicare on the Internet, we bring deep expertise across clinical practice, health plan operations, and large‑scale AI systems.

We pair rigorous clinical governance with privacy‑by‑design engineering and enterprise reliability—delivering secure, compliant solutions that create measurable value for providers and payers alike.

Dr. Russell Amundson

Chief Medical Officer and Co-CEO

Clinical leader combining frontline physician judgment with national payer expertise. Former neurological surgeon and Senior Medical Director at UnitedHealthcare, he brings deep prior-authorization knowledge that strengthens clinical quality, accelerates decision confidence, and supports enterprise-scale adoption.

John Fraser

Co-CEO

Serial healthcare technology founder and operator with a proven record of building category-defining platforms. As founder and CEO of multiple health tech companies—including Ability Network, acquired for $1.2B—he has repeatedly translated complex market needs into scalable products, durable revenue, and successful exits.

Marc Rozycki

CTO

Enterprise technology architect with a track record of designing resilient, high-performance platforms in regulated environments. At Wells Fargo, he served across developer, technology management, and enterprise architecture roles, bringing the system rigor required to scale secure, mission-critical healthcare AI infrastructure.

Dr. David Parker

Director of Clinical Research

Veteran clinician-researcher with deep expertise in epidemiology, outcomes research, and evidence generation. An EIS alumnus at the CDC and former senior researcher at HealthPartners Institute, he adds scientific discipline and clinical validation that de-risk product claims and reinforce payer and provider trust.

Advisory Board

A group of experienced healthcare and technology leaders helping guide our strategy, clinical rigor, and market execution.

Amir Yazdavar

Lead AI Engineer, American Express

AI and data science leader who turns advanced research into production-grade healthcare intelligence. Former Principal Data Scientist at Optum, Change Healthcare, and Peerlogic, with research experience across BOSCH, Weill Cornell, Cornell, ISI-USC, and NIH—bringing both technical depth and enterprise execution discipline.

Saurabh Bhargava

Former UnitedHealthcare/Optum AI & Product Leader

Healthcare AI and product executive with 20+ years building high-impact platforms across prior authorization, utilization management, risk, and quality. Combines deep health economics expertise with product leadership to accelerate commercialization, drive measurable ROI, and scale adoption across payer and provider ecosystems.

Dr. Ranyan Lu, MD, PhD, MBA

Former VP, UnitedHealthcare & Horizon BCBSNJ

Seasoned healthcare analytics executive with 20+ years leading clinical performance, prior authorization, and predictive strategy at national scale. Former Vice President at Horizon BCBSNJ and UnitedHealthcare, where she led enterprise analytics for tens of millions of members and helped shape industry measurement standards.

Roadmap for scalable healthcare automation

We start with prior authorization because it is urgent, measurable, and high-volume—then expand into adjacent workflows that leverage the same clinical, policy, and decision infrastructure.

Phase 1 — Prior authorization automation: Deliver immediate ROI by reducing manual review, speeding determinations, and improving consistency in one of healthcare’s highest-volume workflows.
Phase 2 — UM and treatment eligibility: Reuse policy intelligence and clinical-context retrieval to automate adjacent utilization-management and evidence-based coverage decisions.
Phase 3 — Provider and payer operations: Extend into provider documentation support, payer workflow orchestration, and audit-ready decision quality programs.
Phase 4 — Predictive and population workflows: Add forecasting for disease/cost progression, clinical trial matching, and next-generation public health reporting on the same core platform.
Compounding platform value: Each new module increases data network effects, implementation leverage, and cross-workflow monetization opportunities without rebuilding core infrastructure.

Prior Authorization in Seconds, Not Weeks

Purpose‑built for prior authorization

About Us

Advisory Board

Roadmap for scalable healthcare automation

See WhisperCare AI in action