Tulip

Tulip

$75,000.00
Sale price  $75,000.00 Regular price 
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Tulip

Tulip

$75,000.00
Sale price  $75,000.00 Regular price 

Healthcare Operations AI Implementation — $75,000

Workstream Scope Price
Discovery and stakeholder workshops Define operational problem, users, workflows, intervention strategy, constraints, and desired outcomes $5,000
Business case and KPI definition Establish baseline metrics, success criteria, financial assumptions, dropout definition, and pilot measurement framework $4,000
Data-source assessment Review patient engagement, clinical, billing, scheduling, CRM, and communication systems; document availability and gaps $4,000
Solution and integration architecture Design ingestion, storage, feature, model, scoring, dashboard, security, and governance architecture $5,000
Data ingestion and integration Build or configure pipelines for approved source systems, including batch and event-based data where applicable $8,000
Patient identity resolution Design matching rules to connect records across operational, clinical, billing, and engagement systems $3,500
Data-quality controls Implement validation for completeness, duplicates, freshness, schema changes, and invalid records $3,500
Outcome labeling Define and implement the target variable, prediction horizon, exclusions, and point-in-time labeling logic $3,000
Feature engineering Create patient engagement, treatment, communication, appointment, and financial-risk features $5,500
Feature-store implementation Centralize, version, document, and deliver consistent features for training and production scoring $4,000
Model development Build and compare baseline rules, logistic regression, and gradient-boosted models $5,500
Model evaluation and calibration Evaluate precision, recall, PR-AUC, calibration, lead time, thresholds, and subgroup performance $4,000
Explainability and fairness review Implement prediction explanations and assess bias, false positives, and false negatives across relevant groups $3,000
Model registry and release controls Version models, features, validation results, approvals, and production deployment status $2,000
Batch and event-driven scoring Implement scheduled patient risk scoring and selected urgent event-based triggers $3,500
Risk prioritization logic Define low, medium, high, and critical risk tiers based on staff capacity and intervention cost $2,000
Care-team dashboard or workflow integration Deliver prioritized cases, risk factors, ownership, outreach status, and intervention tracking $5,000
Human-in-the-loop workflow Create review, override, dismissal, escalation, and clinical approval processes $2,000
Intervention and outcome logging Record outreach, intervention type, patient response, follow-up, and final outcome $2,000
Monitoring and alerting Monitor pipeline health, drift, feature freshness, scoring failures, alert volumes, and model performance $3,000
Security, privacy, and governance package Define access controls, audit trail, data minimization, model documentation, intended use, and rollback procedures $3,500
User training and operational handoff Train administrators and care-team users; provide runbooks and operational documentation $2,000
Pilot measurement and executive readout Measure early results, operational adoption, cost per intervention, dropout impact, and scale recommendations $2,000
Total fixed price $75,000

Commercial positioning

The $75,000 fee covers a defined implementation using an agreed number of data sources, workflows, users, and deployment environments. Material scope changes—such as additional clinical systems, custom EHR integrations, extensive historical data remediation, mobile-app development, or enterprise-wide rollout—would be priced separately.

A recommended payment structure is:

  • 30% at project kickoff: $22,500

  • 30% after data and architecture completion: $22,500

  • 25% after model and workflow delivery: $18,750

  • 15% after training and final handoff: $11,250

The client is not purchasing individual tasks independently. These prices demonstrate how the total investment is allocated across the data, AI, integration, governance, and operational work required to deliver the complete solution.

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