We see it time and again: private equity firms evaluating DSOs to buy or invest in prioritizing quality of revenue in their evaluations.
Is your team still juggling spreadsheets using “brute force” to generate this important metric?
While the manual approach can work, it takes significant time and can be prone to errors.
When deals are on the line, a great revenue report is more than just paperwork. It gives you real answers and helps your team shine. It's a strategic advantage that unlocks insights, ensures accuracy, and fuels sustained growth.
You can build your quality of revenue (QoR) report the old-school way or let modern AI tools do the heavy lifting. Either way, what matters is showing investors you’ve got the real numbers. Our clients that use AI-assisted software see greater efficiency, scalability, and depth of analysis.
Still, if using software is out of your reach this year, you can still use spreadsheets to compile your quality of revenue report. After all, private equity is most interested in the concrete figures, not the sausage-making of how you determined it. Here, you get all the steps necessary to complete this important report either manually or with RCM software.
8 Steps in Manually Compiling the Quality of Revenue Report
Clients share that manually compiling a quality of revenue report becomes an all-hands-on-deck task for DSOs.
Before jumping into these eight steps, remember that getting this process right means your team can highlight strengths, flag risks, and showcase financial reliability—all crucial in today’s M&A environment. If you’re still working with spreadsheets, here’s how to tackle each part to build a report investors can trust.
- Data Collection: Gather raw revenue data from practice management and EHR systems, bank statements, and accounting ledgers across all locations. This typically involves spreadsheets or legacy reporting systems.
- Segmentation: Categorize revenue by payer type (private, government, insurance), provider, procedure, and location to assess concentration risks or growth opportunities.
- Reconciliation: Manually check reported revenue against bank deposits and remittance statements to verify accuracy.
- Adjustment: Review contractual allowances, insurance write-offs, and denied claims. Manually adjust for non-recurring or one-off sources of revenue.
- A/R and Collections Analysis: Examine aging reports and manually calculate how long revenue takes to convert to cash. Flag slow-paying accounts or uncollected balances.
- Trend Analysis: Compile historic monthly or quarterly revenue figures in spreadsheets to identify trends, seasonality, and anomalies.
- Quality Review: Assess the impact of coding accuracy, patient retention, and service diversification by extracting KPIs from disparate reports and aggregating them.
- Report Compilation: Assemble findings into a master report—often slower and prone to human error or inconsistencies, providing only historical or limited real-time insights.
Compiling the Quality of Revenue Report Using Technology
Manual reporting is a grind—teamwork, late nights, and lots of double-checking. No surprise your numbers might lag--you’re stuck with yesterday’s snapshot, after all.
Automated revenue cycle management software transforms the process. Reports are generated faster, with fewer mistakes, and real-time insights. Automation lets your DSO focus on strategy and growth instead of manual data wrangling. Advantages include:
- Integration: Use platforms to pull data directly from EHR, billing, and accounting systems, removing manual input errors and providing instant access to all relevant revenue cycle data.
- Automated Segmentation and Reconciliation: Sophisticated algorithms rapidly categorize revenue by payer, provider, and location, and reconcile reported amounts vs. actual bank deposits using built-in logic.
- Real-Time Adjustments: AI automatically flags non-recurring revenues, applies payer contract rules, and adjusts for denials or write-offs, giving an accurate view of true collectible revenue.
- Analytics Dashboards: Automated dashboards display KPIs such as denial rates, AR aging, clean claim rates, and collection speed, making it easy to spot inefficiencies and trends instantly.
- Predictive Insights: Many AI models forecast future collections, identify recurring vs. one-time transactions, and highlight revenue leakage or process bottlenecks using historical data patterns.
- Trend and Benchmarking Tools: Software can benchmark performance against industry norms and historical internal trends in seconds, offering interactive visualizations.
- Report Generation: Produce quality of revenue reports with customizable views for management or external stakeholders, often with “audit trails” and built-in validation features for compliance.
- Continuous Monitoring: Platforms continuously monitor and update financial metrics, enabling DSOs to track improvements and get alerts on anomalies or emerging risks.
Steps to compiling the quality of revenue report are:
- Automated Data Integration: DSO IT staff and the software vendor work together to connect the RCM platform with practice management software, EHRs, and financial systems, to establish seamless real-time data flow.
- AI-Driven Data Cleaning and Validation: The RCM software automatically cleans and validates financial and claim data. DSO finance and operations teams review flagged anomalies as needed.
- Automated Revenue Segmentation: The RCM platform’s built-in AI segments revenue streams by payer, provider, service line, and location. DSO analysts review and customize category settings.
- Real-Time Reconciliation: The RCM system reconciles revenue entries with deposits and payer remittances, automatically adjusting for denials and write-offs. The DSO accounting team reviews and approves exceptions.
- KPI Calculation and Analytics: Advanced analytics dashboards within the software calculate collection and denial rates, AR aging, and other KPIs. DSO finance leaders monitor these dashboards to guide revenue operations.
- Trend and Benchmark Analysis: The software benchmarks performance against industry standards and internal history. DSO leadership and analysts use the visualizations for strategic planning and reporting.
- Compliance Checks and Audit Trails: The platform maintains compliance logs and audit trails automatically. DSO compliance and finance teams access these for internal audits and regulatory requirements.
- Report Compilation and Customization: DSO reporting specialists generate and customize final revenue reports using the automated template and customization tools built into the RCM software.
- Continuous Monitoring and Alerts: The RCM system runs real-time monitoring for outliers or anomalies. DSO managers receive automated alerts and take action as needed to mitigate risk or capitalize on trends.
An automated workflow maximizes efficiency and transparency. Software automation carries the burden of data-processing tasks, while specialized DSO staff oversee, steer, and validate each stage.
InsideDesk Makes Creating Your Quality of Revenue Report Fast and Accurate
While manual methods can get the job done, AI-driven software delivers faster, more reliable, and deeper insights.
InsideDesk streamlines the process of creating your quality of revenue report by automatically pulling together data from your EHR, billing, and accounting systems. InsideIQ organizes it into clear, actionable metrics, delivering real-time dashboards for instant insights. With customizable reports, your team saves hours on manual work and achieves high accuracy.
InsideAssist, an AI-powered claims management tool streamlines the claims process for DSOs. It automates claims follow-up, tracks denials, and retrieves EOBs—freeing your staff to spend less time chasing paperwork and more time resolving unpaid claims. Clients using InsideAssist lower costs to collect and improve collections.
Schedule a demo today to discover how InsideDesk can help your DSO fashion your quality of revenue report to appeal to investors.
