revealMD RAF
Identify HCC gaps with potential revenue
IN JUST 4 CLICKS
revealMD RAF is an advanced analytic tool built to quickly identify missed opportunities in diagnosis coding and meet your Value-Based Care Models to improve revenue, reduce costs, and improve patient outcomes.
Instantly analyze 100% of coding activity for 100% of providers
Using new automation and Artificial Intelligence, revealMD RAF helps value-based providers maximize their financial performance by improving RAF scores, HCC scores, and physician education. Analyze all of the coding activity for all of your providers in seconds to identify gaps in care and prevent the loss of millions in potential revenue.
Revolutionary software
- A secure, cloud-based, HIPAA-compliant solution
- Implementation in under two hours with nothing to install or maintain
- Easy-to-use platform with virtually no learning curve
- Intuitive dashboard that makes risk and revenue potential clear at a glance
Game-changing results
- Identify risk and revenue opportunities in just 4 clicks
- Save valuable time without the need for arduous, incomplete spreadsheets
- Make informed evidence based plans for auditing and physician education
- Gain trend tracking insights over time to see if providers are becoming more or less compliant after education and training in documentation and coding.
revealMD RAF: CASE STUDY SUCCESS STORY
$19.6 MILLION
improved revenue over 6 months compared to the same period last year
(a total of 140 providers focused on Internal medicine and Family Practice)
Improve RAF scores and identify missing HCC coding in seconds
See your entire organization at a glance to evaluate provider coding patterns to instantly identify areas to prevent the loss of millions in potential revenue in just 4 clicks.
Get a complete snapshot in seconds – revealMD RAF lets you view your entire organization at a glance to instantly identify patients with an HCC Gap by percent and potential reimbursement value.
Instantly understand opportunities – At an organization or specialty level, revealMD RAF gives you a snapshot of the total HCC Gap opportunity.
Learn where to focus efforts – revealMD RAF scores each provider’s HCC Gaps against a competitive benchmark, total reimbursement opportunity, and reimbursements opportunity per patient.
Get the details you need – Highlight which physicians and patients are statistical outliers, as filtered by HCC code, group, specialty, doctor, and/or care recipient.
Inaccurate coding can have a huge impact on your bottom line
There are financial differences in coding specificity. Inaccurate or incomplete coding can cause lower RAF scores resulting in less money to care for the patient and a financial loss for the medical group and risk-based plan. Causes for low RAF scores can include:
- Chronic conditions that were billed last year but have not been billed this year
- Use of non-specific ICD10 codes, where coding with greater specificity will carry risk weight
- Failure to code certain chronic conditions despite meeting diagnostic criteria
TESTIMONIALS
WHAT OUR CUSTOMERS ARE SAYING
When we initially began reviewing the REVEAL application, it was strictly from a compliance standpoint. We quickly learned that the tool can be used equally from a compliance and a financial perspective. I have been in compliance a long time and I truly believe REVEAL is a “game changing” tool that can help our hospital system mitigate its compliance risk and at the same time help identify financial opportunities. In today’s health care environment, having the ability to do both through data analytics is critical to the success of an organization.
Twice this week, I’ve had the opportunity to show off revealMD. The executives involved in contract renewal negotiations have been very impressed with what I can produce for them very quickly. Always nice when you get the opportunity to wow someone in the C-suite!
The beauty of revealMD is its simplicity and the speed in which you can see a provider’s pattern
I find it easy to navigate and the layout allows for easy interpretation of the data. I’m sure I’ve only looked at the tip of the iceberg, looking forward to seeing what more it can do.
