Abridge Cost Tuning

Abridge Cost Tuning

Overview

Abridge pricing is enterprise, sales-led, and per-provider. Cost optimization focuses on maximizing provider adoption (to justify per-provider cost), reducing wasted sessions, and choosing the right tier for your org size.

Pricing Model (Enterprise)

Prerequisites

• Use an approved, de-identified utilization export or synthetic test data; do not include encounter transcripts, patient identifiers, or protected health information in cost reports.
• Confirm the reporting period, enrolled-provider roster, and contract figures with the finance and clinical-operations owners before making a renewal or license recommendation.
• Define the organization-specific threshold for a dormant provider and retain the source report needed to reproduce the calculation.

Instructions

Step 1: Provider Utilization Tracking

// src/cost/provider-utilization.ts
interface ProviderUsage {
  providerId: string;
  enrolledDate: Date;
  sessionsThisMonth: number;
  lastSessionDate: Date | null;
  adoptionStatus: 'active' | 'low_usage' | 'dormant' | 'never_used';
}

function classifyProviderUsage(provider: ProviderUsage): string {
  if (provider.sessionsThisMonth === 0 && !provider.lastSessionDate) return 'never_used';
  if (provider.sessionsThisMonth === 0) return 'dormant';

  const daysSinceEnrolled = (Date.now() - provider.enrolledDate.getTime()) / 86400000;
  const sessionsPerDay = provider.sessionsThisMonth / Math.min(daysSinceEnrolled, 30);

  if (sessionsPerDay < 1) return 'low_usage';
  return 'active';
}

function generateUtilizationReport(providers: ProviderUsage[]): {
  total: number;
  active: number;
  lowUsage: number;
  dormant: number;
  neverUsed: number;
  wastedLicenseCost: string;
} {
  const classified = providers.map(p => ({ ...p, status: classifyProviderUsage(p) }));

  const active = classified.filter(p => p.status === 'active').length;
  const lowUsage = classified.filter(p => p.status === 'low_usage').length;
  const dormant = classified.filter(p => p.status === 'dormant').length;
  const neverUsed = classified.filter(p => p.status === 'never_used').length;
  const wastedPercent = ((dormant + neverUsed) / providers.length * 100).toFixed(1);

  return {
    total: providers.length,
    active,
    lowUsage,
    dormant,
    neverUsed,
    wastedLicenseCost: `${wastedPercent}% of licenses are unused`,
  };
}

Step 2: Session Waste Detection

// src/cost/session-waste.ts
interface SessionMetrics {
  sessionId: string;
  durationSeconds: number;
  segmentCount: number;
  noteGenerated: boolean;
  noteAccepted: boolean;
  noteEdited: boolean;
}

function detectSessionWaste(sessions: SessionMetrics[]): {
  totalSessions: number;
  wastedSessions: number;
  wasteReasons: Record<string, number>;
} {
  const wasteReasons: Record<string, number> = {
    abandoned: 0,           // Session started but no note generated
    too_short: 0,           // < 30 seconds of content
    rejected: 0,            // Note generated but clinician rejected it
    duplicate: 0,           // Multiple sessions for same encounter
  };

  for (const session of sessions) {
    if (!session.noteGenerated && session.segmentCount > 0) wasteReasons.abandoned++;
    if (session.durationSeconds < 30) wasteReasons.too_short++;
    if (session.noteGenerated && !session.noteAccepted) wasteReasons.rejected++;
  }

  const wastedSessions = Object.values(wasteReasons).reduce((a, b) => a + b, 0);

  return { totalSessions: sessions.length, wastedSessions, wasteReasons };
}

Step 3: ROI Calculator

// src/cost/roi-calculator.ts
interface RoiInputs {
  providerCount: number;
  avgEncountersPerProviderPerDay: number;
  avgMinutesSavedPerEncounter: number;  // Abridge claims 2-3 hours/day savings
  providerHourlyRate: number;           // Loaded cost including benefits
  abridgeAnnualCost: number;            // Total contract value
  workingDaysPerYear: number;
}

function calculateRoi(inputs: RoiInputs): {
  annualTimeSavedHours: number;
  annualLaborSavings: number;
  netSavings: number;
  roiPercent: number;
  paybackMonths: number;
} {
  const dailyMinutesSaved = inputs.avgEncountersPerProviderPerDay * inputs.avgMinutesSavedPerEncounter;
  const annualHoursSaved = (dailyMinutesSaved / 60) * inputs.workingDaysPerYear * inputs.providerCount;
  const annualLaborSavings = annualHoursSaved * inputs.providerHourlyRate;
  const netSavings = annualLaborSavings - inputs.abridgeAnnualCost;
  const roiPercent = (netSavings / inputs.abridgeAnnualCost) * 100;
  const paybackMonths = (inputs.abridgeAnnualCost / annualLaborSavings) * 12;

  return {
    annualTimeSavedHours: Math.round(annualHoursSaved),
    annualLaborSavings: Math.round(annualLaborSavings),
    netSavings: Math.round(netSavings),
    roiPercent: Math.round(roiPercent),
    paybackMonths: Math.round(paybackMonths * 10) / 10,
  };
}

// Example: 50 providers, 15 encounters/day, 5 min saved each, $150/hr loaded
// ROI = significant positive return within first year

Step 4: Cost Optimization Recommendations

// src/cost/recommendations.ts
function generateCostRecommendations(
  utilization: ReturnType<typeof generateUtilizationReport>,
  waste: ReturnType<typeof detectSessionWaste>,
): string[] {
  const recs: string[] = [];

  if (utilization.neverUsed > 0) {
    recs.push(`Remove ${utilization.neverUsed} never-used provider licenses`);
  }
  if (utilization.dormant > 0) {
    recs.push(`Re-engage or remove ${utilization.dormant} dormant providers`);
  }
  if (waste.wasteReasons.abandoned > waste.totalSessions * 0.1) {
    recs.push('Investigate high abandoned session rate — may indicate training gap');
  }
  if (waste.wasteReasons.rejected > waste.totalSessions * 0.2) {
    recs.push('High note rejection rate — review note templates with clinical leads');
  }

  return recs;
}

Output

• Provider utilization report with waste identification
• Session waste detection with categorized reasons
• ROI calculator for contract justification
• Actionable cost optimization recommendations

Examples

For a quarterly planning review, load a de-identified export for 50 enrolled providers and classify each provider from their monthly session count and last activity date. Run session-waste detection against aggregate synthetic session metrics, then calculate ROI using finance-approved loaded labor cost and contract value. Deliver a report that lists the assumptions, identifies dormant licenses for clinical-lead review, and recommends training before any removal. If the export is incomplete or the calculated contract value is zero, stop the calculation, record the missing input, and request a corrected aggregate report rather than guessing.

Error Handling

Resources

• Abridge Pricing
• Abridge ROI Studies

Next Steps

For architecture design, see abridge-reference-architecture.