Revenue Cycle Insight Lab™
Practical insights for better revenue cycle performance.
Revenue Cycle Insight Lab turns complex RCM questions into practical frameworks, analysis, and actionable ideas for healthcare leaders.
What RCIL Covers
Focused thinking on the operational, financial, and technology decisions that shape modern revenue cycle performance.
Revenue Cycle Operations
Coding, billing, claims, denials, reimbursement, and the workflows that connect them.
Analytics & Performance
KPIs, revenue leakage, productivity, capacity, and the metrics that should drive operational decisions.
AI & Automation
Practical applications of automation and AI that reduce unnecessary work and improve revenue cycle performance.
Strategy & Technology
Operating models, payer workflows, vendor evaluation, and the technology choices behind scalable RCM operations.
Latest Insights
Practical perspectives on the systems, metrics, and decisions that drive healthcare revenue cycle performance.
RCIL goes beyond headline metrics to examine what the numbers actually mean, where revenue leaks occur, which work should be redesigned before it is automated, and how leaders can build more effective revenue cycle operations.
- Don’t Automate a Bad Revenue Cycle ProcessAI and automation create more value when organizations first eliminate, simplify, and standardize the work. A practical framework for applying technology to RCM.
- A 95% Clean Claim Rate Can Still Hide a Broken Revenue CycleA strong clean claim rate can still hide manual rework, delayed billing, recurring edits, and upstream process failures. Here’s what revenue cycle leaders should examine behind the KPI.
About Joe
Revenue Cycle Insight Lab was founded by Joe Jaccarino, a healthcare revenue cycle executive with more than 20 years of experience leading coding, billing, claims, denials, revenue cycle operations, and technology transformation across complex healthcare organizations.
RCIL is built around a simple idea: better questions lead to better revenue cycle decisions. The goal is to turn operational experience, data, and emerging technology into practical ideas leaders can actually use.
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Occasional practical perspectives on revenue cycle operations, metrics, AI, automation, and performance—delivered directly to your inbox.
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