Service Delivery Assessment
Evaluating revenue cycle services against clear measures, finding the gaps and recommending practical fixes.
Revenue Cycle Services · Managed Services
Managing Director, Revenue Cycle Services — Altera Digital Health
I help health systems and physician groups get more from their revenue cycle across Epic, Athena, AthenaIDX and eClinicalWorks. That covers charge capture and billing through denials, AR and the metrics leaders rely on. More than 30 years where clinical operations meet financial performance.
For thirty years I've worked at the intersection of healthcare operations and financial performance — building and rebuilding revenue cycle functions for hospitals, health systems, and multi-site physician groups.
Today I serve as Managing Director, Revenue Cycle Services in Altera Digital Health's Managed Services division. I assess how revenue cycle services are delivered, define the measures that show whether they're working, and recommend where to strengthen them, in partnership with the delivery and client teams.
My background runs deep in Epic, Athena, AthenaIDX, and eClinicalWorks (EcW) — across charge capture, billing, denials, AR, and the reporting integrity that ties them together.
Evaluating revenue cycle services against clear measures, finding the gaps and recommending practical fixes.
Hands-on expertise across build, optimization, and post-live support — charge capture, billing, and AR workflows.
Structured, data-driven approaches to denial prevention and AR management that accelerate cash flow.
Trustworthy metrics and the reporting discipline that ties clinical and financial performance together.
Most conversations about AI in revenue cycle ask where we can use it. I'm more interested in a harder question borrowed from how other industries already think: where does each additional unit of AI consumption create measurable economic value? These are notes toward treating AI as a capital-allocation problem, not just a technology one.
All posts on LinkedInThe first question shouldn't be 'where can we use AI?' It should be 'where does an additional unit of AI consumption create measurable economic value?' That distinction changes everything downstream.
Read on LinkedIn →The long-run economics of AI in revenue cycle won't be decided by how sophisticated the models get, but by how often we can put them to economically productive work — one inference at a time.
Read on LinkedIn →GPUs, data centers, and power are the railroad. The economically productive work moving across it is the freight. Transformative infrastructure can still be overbuilt — and so can an AI deployment.
Read on LinkedIn →The existence of an AI solution doesn't establish the existence of an AI business case. The highest-value uses aren't the most visible ones — they're where a small amount of intelligence changes a high-value financial decision.
Read on LinkedIn →The breakthrough won't come when AI gets more sophisticated. It comes when an executive can say where the next unit of intelligence produces the highest return — and AI stops being an innovation initiative and becomes an operating asset.
Read on LinkedIn →Selected work from prior roles.
Led a full-cycle Epic Resolute implementation across a multi-hospital health system — charge capture redesign, billing workflow optimization, and post-live AR stabilization. Delivered go-live on schedule with a measurable reduction in days in AR within 90 days.
Rebuilt a denials function for a multi-site physician group, shifting from reactive appeals to proactive upstream prevention with denial trending, root-cause workflows, and cross-functional accountability across coding and clinical documentation.
Led renegotiation of a major commercial payor contract using utilization data and outcome benchmarks, and stood up a reimbursement-monitoring infrastructure that surfaced underpayments systematically.
Directed revenue cycle integration for an acquired ambulatory network — harmonizing billing platforms, credentialing, and payor enrollment while maintaining collections continuity through the transition.
I'm always glad to talk revenue cycle with peers across the industry.