Best-in-breed solution and real-time integration drives return on investment for XIFIN RPM 9 customers seeking revenue optimization and workflow efficiencies
Rising bad debt due to an increase in the number of patients with high-deductible health plans and self-pay patients also put revenue at big risk for many laboratories. FrontRunnerHC estimates that nearly 50 percent of self-pay accessions actually have insurance coverage. In addition, laboratories face major reimbursement pressures and fee cuts starting in 2018 as a result of the new clinical laboratory fee schedule that was derived from the PAMA exercise.
Patient Remedi is FRHC's cloud-based financial clearance solution that searches private and public databases to discover everything you'd like to know about each and every patient.

With current and past addresses, phone numbers, email addresses, dates of birth, and social security numbers at your fingertips and updatable with a single click, patient financial clearance becomes easy and accurate.
FrontRunner Health Care’s software offers effective revenue cycle management, patient financial clearance, and credit balance resolution for hospitals, providers and labs. With easy integration, value-based pricing, and custom development, FrontRunnerHC enables smarter patient financial processing.
Labs lose 5% of revenue due to inaccurate data.
XIFIN and FrontRunnerHC make manually identifying and fixing data errors problems of the past.
FRHC's Patient Remedi Insurance Discovery application is now integrated with XIFIN RPM 9, delivering valid insurance coverage for self-pay patients and reducing the staffing expenses associated with discovery, seamlessly and automatically within the award-winning revenue cycle management solution.

This partnership incorporates Patient Remedi's sophisticated data mining and analytics into XIFIN RPM. The result is a higher impact reimbursement solution that automatically identifies and fixes data errors for laboratory customers. With XIFIN RPM and Patient Remedi's insurance discovery capabilities working as one, you can identify active insurance coverage, increase clean claim rates, and generate more revenue—all while reducing A/R and rework costs.
About Patient Remedi
With Patient Remedi integrated in XIFIN RPM 9 in real-time, laboratories can automatically determine a patient's existing health insurance coverage, identify demographic errors and omissions for accessions with no coverage on file that are unbillable or pre-bad debt, and seamlessly updates the information in XIRIN RPM 9.

The Result: 
Faster and more efficient claims to the appropriate
payor which in turn leads to improved reimbursement and cash collected.

Found coverage for 1 million "self-pay" patients
In 2017 alone, Patient Remedi made
financial clearance far more profitable for labs:
Generated $2 billion in additional billing charges
38% Higher Discovery
Increased coverage discovery by 38% on average
1 billion collection correspondences avoided
XIFIN RPM 9 users can enjoy these
benefits without vendor or process changes.
Automatic RCM Integration
Patient Remedi now comes with XIFIN RPM 9
Automated Insurance Discovery
Searches multiple databases for coverage
Identifies Data Errors
Finds demographic and coverage inaccuracies
Inputs Correct Information
Operators can update corrected info with one click
Increase Insurance Discovery and Capture Lost Revenue
See how—with little-to-no manual effort—you can automatically identify and fix data errors and omissions through XIFIN's RPM 9 automated Patient Remedi integration.

Contact us to learn more about using Patient Remedi with XIFIN RPM 9
Success Stories
Sonora Quest Laboratories was using all of the traditional methods to capture and validate insurance eligibility and coverage information to maximize the opportunity to receive full reimbursement for its services. However, cases were still being encountered that lacked enough valid information to fill in the missing gaps and gather complete insurance coverage data.
Due to the unique nature of Cordant’s business, they have a significant number of “self-pay” patients. Many of these patients actually have insurance coverage that could be billed for their services, but in some cases the patients are in treatment for substance use disorder. As a result, gathering eligibility and insurance coverage information for these patients can be very labor-intensive and remain unsuccessful.