RevCycle Intelligence Article: A Specialty Group’s Revenue Cycle Automation Journey
Using revenue cycle automation for Columbia Orthopaedic Group, automated financial clearance and A/R workflows have improved efficiency.
Using revenue cycle automation for Columbia Orthopaedic Group, automated financial clearance and A/R workflows have improved efficiency.
Using MedEvolve Effective Intelligence, Columbia Orthopaedics decreased RCM staff needs rom 5 to 3.5 full-time employees while decreasing 7-day A/R from month to month, achieving highest collection month on record in December 2019, reducing overall A/R over 60 days by 15%, and decreasing A/R over 60 days by 9.4%.
Using MedEvolve Effective Intelligence technology & experts to save time over billing, coding, payments and other administrative burdens.
MedEvolve’s robust practice management software gives Strategic Practice Solutions a robust solution for all their clients.
Reduce RCM labor dependence with financial clearance, insurance A/R, & patient A/R automation modules with real-time analytics.
Increase productivity and simplify front & back office processes while keeping your staff focused with our flagship PM system.
Most AI vendor pitches are built around task-completion metrics: claims processed, calls placed, codes assigned, denials ‘worked.’ These numbers are easy to demo and easy to report. They are also,
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
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