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)

Factor	Impact	Optimization Lever
Provider count	Primary cost driver	Only enroll active providers
EHR depth	Integration complexity premium	Start with basic, upgrade incrementally
Specialty count	Some specialties cost more	Phase specialty rollout
Session volume	Included in per-provider pricing	No per-session cost concern
Patient summaries	May be add-on	Enable only for portal-integrated sites
Languages	Included (28+ languages)	No incremental cost

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

Issue	Cause	Solution
Usage data unavailable	API doesn't expose metrics	Request usage reports from Abridge CSM
ROI negative	Low adoption	Focus on provider training before renewal
High waste rate	Poor onboarding	Invest in provider change management

Resources

• Abridge Pricing
• Abridge ROI Studies

Next Steps

For architecture design, see abridge-reference-architecture.