Predict → Quantify → Prescribe
Healthcare workforce intelligence that transforms data into actionable insights
Identify turnover risks before they occur
Calculate exact cost and business impact
Prioritize interventions by ROI
Statistical models analyze 50+ employee data points to calculate individual turnover probability scores.
Each employee receives a 0-100% risk score updated monthly based on engagement, compensation, tenure, manager effectiveness, and workload patterns.
Aggregate risk metrics by department, role, and tenure cohort to identify systemic issues.
Flag high-impact roles where turnover would significantly affect operations or revenue.
Translate workforce metrics into financial outcomes with hospital-specific cost models.
Calculate replacement costs including recruitment, training, productivity ramp-up, and overtime coverage during vacancy periods.
Link turnover rates to operating margin impact based on department, role criticality, and revenue contribution.
Model how RCM department turnover affects denial rates, days in AR, and revenue leakage.
Turnover Cost = (Salary × 1.5-2.5) + Training + Lost Productivity + Revenue Impact
Ranked intervention strategies with transparent cost-benefit analysis and expected outcomes.
Prioritize retention strategies by expected return: compensation adjustments, manager training, workload optimization, or career development programs.
Each recommendation includes historical success rates from similar interventions across 150+ healthcare organizations.
Model multiple intervention combinations to optimize budget allocation and maximize retention impact.
Hospital-specific capability linking RCM turnover to financial outcomes
Billing/Coding Department
Denial Rate
Annual Revenue Leakage
Reduce turnover from 35% to 25%
Schedule a demo to explore how each layer works with your hospital's data.
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