This week Sift is proud to introduce Rev/Track, a powerful new tool for that leverages Sift’s AI and machine learning to help healthcare providers and RCMs to optimize their revenue cycle operations. Rev/Track delivers detailed intelligence around payments behavior, insurance denials, collection trends, patient segments and revenue cycle work efforts.
Rev/Track provides revenue cycle leaders with instant access to interactive dashboards and detailed reports that make it easier than ever to extract meaningful insights from healthcare payments data and to make better informed decisions around revenue cycle operations.
Built on Sift Healthcare’s comprehensive data platform, Rev/Track create a single source of truth for healthcare payments data, organizing payments data (including 835’s, 837’s, patient billing data, call data and more) into a cloud-based and HIPAA-compliant relational database. Rev/Track presents organized and normalized payments data and, in concert with Sift’s predictive modeling, allows users to visualize patient segments, denials trends and the various attributes that impact payment behavior.
From reviewing high-level KPIs to drilling down into the performance of individual payers, patient segments, procedure codes and more, Rev/Track equips revenue cycle leaders at organizations of all sizes to:
• Monitor key metrics around insurance denials and patient collections.
• Track denial and liquidation rates over time and isolate the impact of different payer types, payers, facilities, procedures, CARC themes and reason codes.
• Understand how receivables are aging and how collections measure up against targets.
• Evaluate the impact and quality of collection strategies and revenue cycle work efforts.
Eliminating the extensive time and work healthcare providers and RCMs traditionally spend organizing data and constructing reports, Rev/Track makes accessing actionable revenue cycle intelligence easy and efficient. Learn more about Rev/Track her or contact us for a demo.
