How Time-Based Billing Intelligence Data Becomes the Basis for Reducing Revenue Cycle Complexity and Improving Revenue Cycle Outcomes (Part 2)

If you missed it, check out Part 1, then continue with Part 2 of this episode of Rehabbing Your Revenue Cycle, where host Robert Kowalick, Managing Member & CEO of Revenue Cycle Solutions, LLC and Ascend Solutions, LLC, shares his journey from hospital-based physical therapist to building a multi-location practice and launching a data-driven billing company. Drawing from more than 20 years in healthcare, Robert explains why many revenue cycles fail and how focusing on billing time demand, complexity, and outcomes can lead to better financial results. He introduces the core ideas behind his unique approach to revenue cycle management and outlines how turning billers into data sources helps fix problems at the root. This episode sets the foundation for healthcare providers who want to grow stronger, more efficient, and more valuable businesses.

With a background in physical therapy and a strong focus on solving business problems, Robert Kowalick brings years of hands-on experience to revenue cycle management. After starting his career in a hospital system, he launched and grew a successful seven-location practice before selling it and turning his in-house billing team into a full-service company. Motivated by the need to improve billing outcomes for other providers, Robert developed a data platform that tracks billing time and complexity to uncover root causes of poor performance. His mission is to help healthcare practices improve revenue, reduce waste, and build more scalable and profitable businesses through better use of data.

Expect to Learn

1. Why most healthcare practice revenue cycle outcomes are broken and how they impact provider income underperform expectations.
2. Why quantifying revenue cycle complexities and their impact on understanding billing time demand, billing process efficiency, and effectiveness, and time supply is the most important missing information in a healthcare practice that can improve cash flow and efficiency.
3. How and why converting the biller’s experience into billing intelligence data identifies all opportunities for revenue cycle process optimization helps reveal hidden problems in the revenue cycle.
4. How reducing revenue cycle complexities from any source y across systems, payers, and processes leads to better revenue cycle business outcomes.
5. How better revenue cycle data and metrics drive optimizations that allow you to build Why treating your billing team like a data source is key to building a more scalable and profitable practice.

Timestamps

[00:00] – Recap of Part 1

[00:37] – The Starting Point & The Billing Time Puzzle

[02:57] – Defining Revenue Cycle Functions and Their Impact

[05:21] – Turning Billers into Data Generators

[07:55] – The Daily Reality and Frustrations of Billers

[10:58] – The Need to Control Revenue Cycle Complexity

[12:11] – The Goal: Balance Time Demand & Supply

[16:31] – Quantifying Complexity with Data

[18:02] – 78% of Problems Originate Outside Billing

[23:40] – The 40x Time Variance in Denial...