A few weeks ago, we launched our brand new ReimbursementCodes website. The new site is intended to change the way our customers work by opening up all of our data sets, displaying the data in a user-friendly single-screen format, and incorporating tools that save time and ‘clicks’ like global search and calculators. So, we were excited to see the utilization data for the site during the Beta period.
Of the new data available to everyone in the Essential License, we’ve noticed more people using our NDC Conversion calculator tool. This tool works in conjunction with our NDC Crosswalk to help payors and providers submit the proper billable units by converting HCPCS/CPT® level billable units to NDC level billable units. This tool may be gaining popularity since more and more organizations are moving to NDC-level claims submission.
A few customers provided us useful feedback and praise for the new site. One of our Specialty Pharmacy users described that they tried the new site out with a coworker. They explained, “the more we ‘played’, the more we loved it. All those cross-reference sites, calculations, etc. are in one site. Kudos to whoever put it together! Evidently it was someone who actually has to work with the information, as it has made everything so much easier.”
The beta version of the new site will be available now through the end of the year and users will still have access to our classic ReimbursementCodes. The team at RJ Health is aiming to migrate all users from the classic to the new site in early 2017. If you’re interested in joining us for a webinar that explores the functionality of the new site, you can register for one here.
To try the new site and see how it can make your life easier, login to your account at ReimbursementCodes.com and click the green “Try the new Beta site” link at the top of the site. If you’re not a user, sign up for a free trial to explore the most comprehensive suite of coding (HCPCS/CPT®, and NDC), pricing (AWP, WAC, ASP, and CMAC) and clinical crosswalks (ICD10, Min/Max, and Age/Gender) to help reduce medical drug spend.