Human oversight of AI is not free. Putting a person on everything slows the revenue cycle and caps its scale. The skill is knowing where judgment belongs.
Why revenue integrity tools underdeliver on their own
Health systems have spent the past decade investing in revenue cycle technology. Coding engines, denial predictors, eligibility tools, and workflow automation. Technology is deeper and more capable than it has ever been. Yet revenue still leaks through the seams, and for finance leaders watching margin absorb the difference, that leakage is not a rounding error. It is capital that should already be on the balance sheet.
The next chapter of Access Healthcare starts now
Across healthcare technology and services, the instinct is often to sell clients the future: show them the roadmap, promise the destination, and ask them to make the leap. After more than two decades of leading client organizations, I have learned why that leap so often falls short. Clients do not operate in the future. They operate within the realities of their current systems, staffing models, payer contracts, operational constraints, and the revenue pressures landing on their desks this quarter.