Cost to collect is a simple ratio, total cost divided by total cash collected. Right now, the industry conversation is dominated by the numerator, how AI agents and automation can strip out human touches and reduce operational cost. That focus is understandable given the pace of technology change, but it comes with a reality check. Healthcare revenue cycle is a regulated space, and AI is not yet ready to safely replace human judgment across every workflow, every time.

In this Office Hours episode, Anthony Amaya, VP at Infinx, offers an alternative lens. If the goal is to move cost to collect meaningfully and quickly, organizations should resist the urge to fixate on cost reduction alone. The denominator, cash, is where proven, technology enabled solutions can produce outsized impact right now. Mid revenue cycle capabilities like charge capture optimization, strategic pricing using market based methodologies, clinical documentation improvement , and coding optimization can increase the cash an organization collects without waiting for AI to mature.

Infinx operates on both sides of the equation, helping clients reduce costs with technology while simultaneously increasing cash through technology driven revenue cycle assessments that rapidly pinpoint optimization opportunities across the RCM continuum. Anthony will walk through how this balanced strategy delivers real ROI today, improves outcomes, and builds the operational readiness that makes automation effective and safe over time.

Learning Objectives

  1. Explain why cost to collect is a two-sided equation and why an overemphasis on cost reduction through AI alone can lead to slower, narrower results than a holistic approach.
  2. Identify mid-revenue-cycle solutions — including charge capture optimization, strategic pricing, CDI/DRG optimization, and coding optimization — that increase cash collected and can materially reduce cost to collect before large-scale automation is in place.
  3. Evaluate a balanced roadmap that pairs technology-driven RCM assessments and near-term cash improvement with phased, safe adoption of AI and automation to demonstrate measurable ROI now and scale responsibly over time.

Register Now