Our single platform approach provides immediate visibility into revenue cycle opportunities, tackling some of today's biggest challenges with the following Productized Analytics Suite Modules:

• Workforce Quality Insights (WQI) – Links front-office actions to financial KPIs
• Patient Access Insights (PAI) – Enhances financial experience pre-service
• Revenue Integrity Suite (RI) – Reduces denials and compliance risks
• Productivity Analytics (PA) – Improves staff productivity in real-time
• Cost Insights (CI) – Targets controllable costs
• Business Office Suite (BOS) – Unifies patient accounting data

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data—and helped thousands of organizations achieve their potential along the way.

Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape.

Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals.

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. 

• Unified, normalized and organized claims and remittance data.
• Delivering an accessible and complete picture of claim behavior, payer trends and the drivers of denials.
• Curated, consultative analysis pinpointing where your team can take action to prevent denials and optimize workflows.

Denials Prioritization & Intelligent Automation to better manage touches and lower the cost of delivering each dollar of cash.

• Sift’s machine learning optimizes workflows by prioritizing your team’s denial work efforts around ROI and by delivering Smart Claim Edits that improve first-pass yield. 
• Active-Learning Claim Scrubber analyzes daily claims and remittances to curate high-impact claim edit recommendations.
• Machine learning models that score denials at an atomic claim level, using over 500 attributes to determine each denial’s likelihood to overturn.
• ROI-based denials worklists seamlessly integrate into your EMR, prioritizing high-recovery denials in staff workqueues.
• Scoring that enhances existing automation capabilities, enabling the strategic automation of low-yield accounts while avoiding over-automating recoverable accounts.

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.

• Machine learning models score encounters around their likelihood of being denied, proactively flagging encounters for intervention before claim submission.
• Denial category prediction and root causes pointers enable routing to the appropriate mid-cycle workflow for mitigation.
• Mid-Cycle Denials Intelligence that ties back-end billing, denial and overturn patterns to upstream workflow data inputs to deliver root cause analysis and prevention recommendations.

Sift Healthcare provides intelligent and accessible solutions for provider systems that need to extract meaning and value from their vast stores of payments data. Sift organizes and normalizes all of your payments data in one location, providing a holistic view of collections. Our denials and patient collection dashboards, payer scorecards, propensity to pay tools, market intelligence reports and enriched patient profiles enable revenue cycle teams to optimize workflows and accelerate cash flow.

• Detailed and summary level reporting for different views to serve multiple purposes; 
• Standard and ad-hoc reporting allowing clients flexibility to slice/dice based on unique corporate needs;
• Incorporation of MedeAchieve across entire RCM portfolio to incorporate metric tracking into key enterprise initiative tracking;
• Worklisting available throughout the RCM workflow;
• Vendor flexibility – Plug & play any vendor into existing Mede workflows;
• Robust rules engine to drive efficiencies and streamline workflows;
• Integration of AI Agents to streamline and reduce manual entry;
• Predictive analytics using AI intelligence;
• Focus on productivity analytics to highlight and stratify registrar performance;
• Integrated Financial Clearance Workflows to maximize revenue generation

Enterprise Analytics - MedeAnalytics helps users identify key outliers in their data and distribute the right actionable information to the right people – at the right level – throughout the enterprise. 

MedeAnalytics can measure revenue and practice performance across the entire system. Our approach to organizing data into a patient longitudinal record has led to improved financial, operational, and even clinical performance.

Our Integrated MedeAchieve solution improves strategy execution with action plans that define your objectives, align staff around shared goals, and track progress in a closed­ loop system.

1. ML to predict propensity-to-overturn, enabling dynamic denial prioritization -- rather than rules-based systems (i.e. EMR offerings).
2. ML to predict propensity-to-deny, enabling denial prevention before claims are created. 
3. Rev/Track Insights Reports with curated intelligence and action items.
4. Unified and accessible data foundation, including:

• Matched claims and remittance data
• Unified and normalized payments data
• Payments data matched to corresponding CDI and coding data.