Sift’s Payments Intelligence Platform powers data-driven recommendations and interventions that optimize full-cycle denials management.
Acute care EMR, Ambulatory EMR, Access +/or revenue cycle
EMR Integration & Relevant Hardware:
Recommended, but not required
Allscripts, Cerner, CPSI, eClinicalWorks, Epic, Other
Payers constantly change the rules. Sift evens the playing field. Sift equips healthcare organizations to fully leverage their payments data to work smarter, protect their margins and accelerate cash.
Actionable Denials Intelligence, delivering a longitudinal view of clinical, coding, claims and remittance data. Sift establishes a data foundation that gives providers unprecedented access to their payments data and intelligence tools to better manage their denials, identify root causes and prevent future denials.
Denials Prioritization & Intelligent Automation to better manage touches and lower the cost of delivering each dollar of cash.
Denials Prevention. By unifying clinical, coding and payments data, Sift's ML predicts denials before claims are created and provide recommendations for upstream interventions.
Sift’s ML models predict the likelihood of denial and provide pointers for intervention and prioritized user analysis, working to optimize payment outcomes.
Sift’s ML scores efficiently identify opportunities to prioritize staff touches on high-complexity accounts and leverage automation on low-complexity accounts, enabling providers to better facilitate AR management and accelerate cash.
With the changing payer mix and documentation and coding challenges during a time when higher margin elective procedures have disappeared and patients are even less able to pay balances due, turning receivables into cash as efficiently as possible is more important than ever. Payer specific claim edits updated daily based on raw claims and denials data (837 and 835) mean higher first pass payment rates. For denials that persist, ensure your teams are laser focused on the denials with the highest value to the organization, the highest likelihood of overturn with significant payment.
VP of Revenue Cycle, Revenue Cycle Director, Denials Team, Revenue Cycle Teams