Zach Ruhl

About Zach Ruhl

Maia is an AI-powered revenue cycle platform purpose-built for orthopaedic practices. Maia works alongside your existing RCM workflows to proactively code cases, improve authorization accuracy, and reduce downstream denials—before claims are submitted.Orthopaedic revenue cycle complexity continues to increase as procedures grow more specialized, payer rules change frequently, and staffing shortages strain administrative teams. Maia helps practices stay ahead by continuously monitoring clinical, authorization, and coding data to surface issues early and guide corrective action.How Maia Improves Performance for Orthopaedic Clients:Proactive authorization accuracyMaia compares scheduled procedures, clinical documentation, and payer rules to ensure pre-authorizations match what will ultimately be billed. When mismatches are detected, Maia flags them early—helping teams correct issues or trigger re-authorization before services occur.AI-assisted coding validationMaia analyzes operative notes and documentation to surface potential coding gaps, missing specificity, or compliance risks. This supports coders by reducing rework, minimizing post-bill corrections, and improving first-pass claim accuracy.Denial prevention—not just denial managementInstead of reacting to denials after the fact, Maia focuses on prevention. By identifying risk earlier in the workflow, practices can reduce avoidable denials tied to authorization errors, documentation gaps, and coding inconsistencies.Operational efficiency and staff reliefMaia automates repetitive review and monitoring tasks, allowing revenue cycle and administrative staff to focus on higher-value work. This reduces manual audits, shortens turnaround times, and helps teams operate more efficiently without adding headcount.Built for orthopaedic complexityMaia is designed specifically for orthopaedic practices, supporting high-volume surgical workflows, specialty-specific coding nuances, and evolving payer requirements common in musculoskeletal care.Key Benefits- Improved authorization-to-bill alignment- Fewer preventable denials- Faster reimbursement cycles- Reduced administrative burden- Better visibility into revenue cycle riskMaia integrates seamlessly with athenaOne, Epic and other EMRs to enhance—not disrupt—existing workflows. The result is a smarter, more proactive revenue cycle that supports financial performance while freeing teams to focus on patient care.

Experience

1. Founder and CEO

   Maia

   Jan 2025 — Present · Denver, CO, US

Education

• University of Minnesota

  BME, Mechanical Engineering

  2009 — 2012

• Northwestern University - Kellogg School of Management

  Master of Business Administration (M.B.A.), Business Administration and Management, General

  2016 — 2018