With physician consolidation accelerating and hospitals acquiring more and more physician groups, the necessity for electronically exchanging patient demographic data increases every day. Although this electronic exchange of patient information is expected to improve efficiency, if the data is not clean and accurate it can create as many problems as it solves.
Now it’s easy to identify and correct missing insurance information while minimizing duplicate patients and reducing instances of erroneous data overriding accurate data.
Designed to pre-process patient data in demographic interfaces, RCxRules’ robust rules engine and automated review process deliver the highest-quality patient data possible—while minimizing the need for your staff to manually review data on the front end and correct data on the back end.
The RCxRules Patient Demographic Data Quality Module:
Get Clean Patient Data with RCxRules:
“At Northwest Radiology, we strive to run our business office operations as efficiently as possible. One of our big challenges had been managing our multiple hospital interfaces and keeping our patient demographic database clean, accurate and up-to-date. With RCxRules, we’ve been able to automate the process of reviewing and refining the patient information in these interfaces. This has dramatically reduced the time and effort involved in ensuring we have the information needed to run our operations smoothly, and that’s had a huge impact on our organization.”
Billing and Compliance Manager
Northwest Radiology Network