Authors: Christian Carlson and Scott Hori

Varun Ganapathi is an AKASA co-founder, our chief technology officer, and one of the smartest people we know. Constantly seeking to enhance his understanding of Revenue Cycle Management (RCM) operations, Varun turned to us long-time revenue cycle professionals with a question: “What is the one metric or key performance indicator (KPI) that best measures the performance of the revenue cycle function?” We responded with a litany of different KPIs that we have always used to gauge effectiveness: accounts receivable (A/R) days, cost to collect, denial write offs, cash as a percentage of net patient revenue (NPR), point of service (POS) cash collections, etc. Varun, who is not burdened with 25 plus years in this industry, said two things; 1) there needs to be a single metric that measures performance and, 2) no wonder healthcare is so messed up!

So that brings us to the question: what is the holy grail metric to measure revenue cycle performance?

  • Cost to collect
  • Cash as a percentage of NPR
  • Denial Rate
  • A/R Days

The Goal of Revenue Cycle Operations

Let’s start by asking ourselves: what is the goal of the revenue cycle function? In short, it is to get accurately paid for the service that was delivered in a reasonable timeframe. We see that timeframe to be no more than 60 days post-service for the primary payer. In order to meet that goal, we need to have claims paid the first time they are submitted. Historically, we have had a metric of clean claims rate (CCR):

Creating A New Metric: First Pass Claims Payment

As defined by HFMA in its MAP keys program, CCR is calculated by dividing the number of claims that pass all edits, thus requiring no manual intervention, by the total number of claims accepted into the claims processing tool for billing. https://www.hfma.org/MAP/mapkeys

Today, we see forward-thinking providers tracking and improving on CCR in combination with first pass yield. We think it’s time for the industry to develop a new metric to refer directly to the percentage of claims that are paid completely and accurately on the first submission. We’re calling this new metric first pass claims payment (FPCP): the percentage of claims that are paid at 100 percent of expected rate on the first submission.

A Holistic View of RCM

Since the FPCP metric is the rate at which encounters are paid 100 percent accurately, in compliance with the provider’s payer contracts and after submitting the claim the first time, then other metrics become subsets of this new metric — this includes denials, AR days, and cash as a percentage of NPR. Receiving the maximum reimbursement the first time a claim is submitted is crucial to achieving desired operating margins.

FPCP incorporates volumes of other metrics, but it can be dangerous to focus on just one metric at the expense of everything else. Similar to physics, where you have equal and opposite forces, you need opposing metrics to give you a holistic view of your revenue cycle operations.

The other side of the equation is the level of effort needed to have a claim paid accurately on the first submission, which contributes to the cost to collect. So the FPCP rate and the cost to collect together serve as the two best metrics to provide a holistic view of revenue cycle performance.

For the past 25 years the methodologies recommended to improve revenue cycle performance and the associated KPIs, have stayed largely unchanged. These methodologies have been a blend of technology, process and people working in an ever increasing number of queues. These approaches result in constant manual effort that makes it nearly impossible to be 100 percent accurate with FPCP. It’s time to evolve how the industry measures effective revenue cycle operations and this will require an evolution in our approaches as well.

A New Approach to Revenue Cycle Performance

At AKASA, we look at the challenges of revenue cycle management and focus on how to solve these old problems in new ways. We know that automation is central to making RCM more efficient. We also know that healthcare is a uniquely complex and dynamic field, necessitating a flexible solution with continuous learning built in. Understanding these nuances, we purpose-built our solution, Unified Automation, specifically for RCM in healthcare. Unified Automation consists of three complementary elements:

1. Our proprietary software captures multi-modal data to provide a 360 degree view of current workflows and processes.

2. Our team discretizes the data to train our machine-learning algorithm which automatically creates a model, constructing complex flows that are impossible to script by hand. Our algorithm also identifies broken workflows and corrects them, often eliminating unnecessary work.

3. Our solution works 24/7 using the processes learned from staff and automates full functions, quickly taking on new tasks over time. If complexities arise, our in-house team of RCM experts are notified to triage the problem. They resolve it in real-time while our solution learns from the actions they take. RCM operations continue uninterrupted. Continuous learning is built in, providing peace of mind, always.

4. Unified Automation greatly reduces the amount of low value, high volume, repetitive tasks revenue cycle teams have to manage manually. This frees up staff to work at their top of license and drive greater improvements in overall revenue cycle performance at a significantly reduced cost.

Our platform provides revenue cycle leaders with the infrastructure they need to enable their teams to successfully achieve consistently high rates of first pass claims payment.

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WRITTEN BY
Ben Beadle-Ryby

Ben Beadle-Ryby is senior vice president of sales and customer success and co-founder of AKASA. During his time as a partner at Advisory Board, he oversaw revenue cycle consulting and technology. With a degree in mathematical economics from Colorado College, Beadle-Ryby has been partnering with healthcare organizations for more than a decade to identify inefficiencies and build roadmaps for sustainable, long-term operational improvements.

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