DRG Anomaly Detection
Use intelligent error detection to increase revenue
With payers routinely adjusting policies and guidelines, ensuring DRG accuracy can drain resources and impede productivity. Because DRG assignments often require interpretation, it takes time to systematically review accounts for over- or under-coding.
Waystar makes that process precise and painless. Our DRG Anomaly Detection solution combines advanced tech, a huge data set and expert auditors to take the burden off your team. We provide a consistent, systematic coding approach to recover missing revenue and increase collections.
Comprehensive + accurate analysis
DRG Anomaly Detection helps you overcome your biggest DRG challenges, from recouping missed revenue to reducing compliance risk, addressing staffing costs and strengthening QA. Powered by machine-learning algorithms, the Waystar platform continually evaluates 5,000 accounts per second, 24 hours per day, constantly adjusting to valid changes in coding behavior to ensure 100% of accounts are assessed for assignment errors.
And with comprehensive reporting on errors by areas such as MDC, service line or medical vs. surgical (and more), you can easily pinpoint root cause issues and open up additional revenue opportunities by evaluating accounts based on predicted vs. actual DRG.
What makes Waystar different
The best of AI + an expert auditing team
Waystar leverages AI to automatically audit claims, build out detailed reports on the process and generate high-accuracy DRG assessments. DRG Anomaly Detection also gives you increased visibility into coding opportunities, case data and areas to target for improvement.
With Waystar’s DRG Anomaly Detection, your team can easily:
- Track and trend revenue loss with customizable reporting, dashboards + proactive alerts
- Employ rigorous DRG error verification
- Implement post-bill + move to pre-bill configuration
- Record detailed notes, reducing time spent reviewing performance down the line
- Categorize populations + account subsets for assessment in a pre-bill or post-bill state
- Send a ‘bill-hold’ file preventing claims with qualified DRG errors to be released for billing
“ So far we’ve uncovered about $27 million in 35 months. That’s not the amount we could potentially capture—that’s what we’ve actually collected in additional net revenue ”
Talk with an expert about DRG Anomaly Detection
We’re always available to chat more about your organization’s challenges and needs. Want to learn more about DRG Anomaly Detection? Fill out the form below and one of our experts will be in touch shortly.