THE HEALTHCARE COST OPTIMIZATION ENGINE: Building Data, AI, and Operational Systems for Sustainable Cost Control
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Benefit Design sets structure. Provider Contracting negotiates rates. Care Management intervenes clinically. Utilization Management controls authorization. Reimbursement Policy governs payment rules. Payment Integrity recovers overpayments. Each function has its own team, its own tools, its own metrics — and none of them can see what the others are doing in time to act on it.
This book fixes that.
The Healthcare Cost Optimization Engine is a documented, battle-tested framework for transforming six isolated cost management functions into a single integrated intelligence system — built by a healthcare data and analytics executive who spent several years in constructing enterprise-scale infrastructure at one of the largest health plans in the United States. That infrastructure includes an Enterprise Data Lake supporting 250+ AI and analytics projects, a production AI Agent platform, and a commercializable multi-tenant analytics product deployed across external health plan clients.
This is not theory. This is what was actually built, what broke, and what the industry must build next.
Across 16 chapters, you will get:
- The executive who decides what to build and what to fund
- The operator who runs programs and drives performance
- The engineer who architects, implements, and maintains the systems
Whether you are modernizing a legacy cost management program, building a data platform for a mid-market health plan, or designing AI applications for payer operations — this book gives you the framework, the architecture, the use cases, and the roadmap to do it with precision.
THE HEALTHCARE COST OPTIMIZATION ENGINE: Building Data, AI, and Operational Systems for Sustainable Cost Control
Sale price
$56.99
Regular price $68.99
The Healthcare Cost Optimization Engine -A Practitioner's Playbook for Integrated Cost Management at Scale
Health plans spend billions managing cost — and most of it leaks through the gaps between functions that were never designed to talk to each other.Benefit Design sets structure. Provider Contracting negotiates rates. Care Management intervenes clinically. Utilization Management controls authorization. Reimbursement Policy governs payment rules. Payment Integrity recovers overpayments. Each function has its own team, its own tools, its own metrics — and none of them can see what the others are doing in time to act on it.
This book fixes that.
The Healthcare Cost Optimization Engine is a documented, battle-tested framework for transforming six isolated cost management functions into a single integrated intelligence system — built by a healthcare data and analytics executive who spent several years in constructing enterprise-scale infrastructure at one of the largest health plans in the United States. That infrastructure includes an Enterprise Data Lake supporting 250+ AI and analytics projects, a production AI Agent platform, and a commercializable multi-tenant analytics product deployed across external health plan clients.
This is not theory. This is what was actually built, what broke, and what the industry must build next.
Across 16 chapters, you will get:
- The Six-Pillar Framework — A unified operating model connecting all six cost functions into a single, signal-driven system with shared data, shared context, and coordinated intervention logic
- The Unified Data Architecture — A real-world reference architecture built on Snowflake and GCP that makes cross-pillar intelligence operationally possible — not just conceptually desirable
- AI and ML, Pillar by Pillar — Risk stratification, prior authorization automation, anomaly detection, GNN-based fraud detection, and more — mapped explicitly to each function with implementation guidance
- Real-Time Event-Driven Architecture — Using GCP Pub/Sub, Dataflow, and BigQuery to shift cost management from retrospective auditing to prospective, pre-payment intelligence
- The Integrated Cost Optimization Platform — A five-layer, six-pillar synthesis architecture with the Cost Optimization Signal at its core — the connective tissue the industry has been missing
- A 36-Month Transformation Roadmap — Three horizons of execution with the organizational roles, governance model, and culture change program that determine whether any of this actually gets built and sustained
- The Next Frontier — Generative AI in payer operations, FHIR interoperability at scale, value-based care data infrastructure, and the payer-provider convergence reshaping cost management through 2030
- The executive who decides what to build and what to fund
- The operator who runs programs and drives performance
- The engineer who architects, implements, and maintains the systems
Whether you are modernizing a legacy cost management program, building a data platform for a mid-market health plan, or designing AI applications for payer operations — this book gives you the framework, the architecture, the use cases, and the roadmap to do it with precision.