Expert Whitepapers
In-depth research, analysis, and practical guides to help you navigate the complex world of healthcare AI implementation.
Featured Research
The Future of Healthcare: UDHP – Unified Digital Healthcare Platform
Healthcare's $4.1 trillion U.S. spend is constrained by operational fragmentation: 500-700+ applications per system, only 11% with robust interoperability, and $400-500B in annual administrative waste. This white paper defines UDHP (Unified Digital Healthcare Platform) as the AI-native orchestration layer that unifies data, workflows, and governance—then presents HealthSync AI as a live reference implementation via Atrium, OmniSync, Pulse3, OrchestrAI, EquiScan, and Sentinel.
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PHI Sprawl: Containing Protected Health Information in the AI-Enabled Health System
PHI sprawl is the uncontrolled spread of Protected Health Information across apps, clouds, logs, AI pipelines, partner systems, and devices. This paper explains why PHI sprawl is accelerating, where it hides, and how to contain it using Zero Trust design, rigorous data-lifecycle controls, HIPAA-aligned governance, and modern implementation patterns for FHIR/SMART, Bulk Data, and AI.
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Credentialed Data: The Key to Bias-Free AI in Utilization Analyses
This white paper argues that credentialed, high-quality data sources—including PubMed/PMC, MIMIC-IV, eICU-CRD, and HCUP—are foundational to bias-aware healthcare AI. When coupled with privacy-preserving integration and rigorous fairness monitoring, these sources enable more equitable utilization insights and safer automation across operations.
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Breaking Down Healthcare Silos: An Informational White Paper on Unified, AI-Ready Operations
Healthcare organizations operate 40-100+ disconnected applications, creating $30B in annual waste and enabling dangerous shadow AI adoption. This vendor-agnostic framework provides actionable guidance for unifying operations through FHIR/SMART interoperability, bias-free AI governance, and measurable 90-day implementation sprints.
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