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Expert Whitepapers

In-depth research, analysis, and practical guides to help you navigate the complex world of healthcare AI implementation.

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Featured
Research White Paper

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.

Key Topics Covered:

PHI Data Lifecycle Management
Zero Trust Architecture for Healthcare
HIPAA Minimum Necessary Standard
FHIR/SMART Security Best Practices
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Featured
Research White Paper

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.

Key Topics Covered:

AI Bias Mitigation in Healthcare
Credentialed Data Sources (PubMed, MIMIC-IV, HCUP)
HIPAA-Compliant Middleware Architecture
Fairness Metrics & Monitoring
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