Who we serve
Cainex supports healthcare organizations that need scalable, reliable coding performance without increasing operational complexity and cost.
Healthcare revenue cycle leaders face increasing documentation complexity, staffing shortages, and growing financial pressure. Sustaining performance with traditional manual coding models has become more difficult and less predictable.
Hospitals &
Healthcare Systems
Modernize coding across your health system.
Hospitals face margin pressure, staffing shortages, and increasing documentation complexity. Cainex deploys dedicated AI coders
that improve coding accuracy, stabilize throughput, and reduce revenue cycle friction across both professional and facility coding.
Operational Impact
Financial Impact for CFOs & Revenue Cycle Leaders
Management Services Organizations
(MSOs)
Standardize and scale across your portfolio.
MSOs operate across multiple practices, specialties, and acquisitions. Coding variability creates operational risk and inconsistent financial outcomes. Cainex provides portfolio-
wide AI coding infrastructure that standardizes performance across practices while supporting scalable growth. Cainex enables centralized oversight and consistent performance without increasing headcount.
Portfolio Impact
Revenue Cycle Management (RCM) Companies
Increase throughput. Improve SLA performance.
RCM companies compete on speed, accuracy, and margin. Client retention depends on consistent delivery and operational scalability.
Cainex augments your workforce with dedicated AI coders that increase coding capacity and
reduce backlog without proportional labor expansion.
Cainex helps RCM organizations grow client volume while maintaining predictable operational costs.
Performance Impact
WHO WE SERVE
A common outcome across all organizations
Regardless of structure, our clients share a common objective:
Increase clean claim percentage
Eliminate coding bottlenecks
Reduce A/R days
Reduce cost to collect
Scale without hiring
Reduce coding and A/R staffing costs
Cainex replaces manual bottlenecks with dedicated AI coding infrastructure built for measurable performance.
