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ABIG Health | Healthcare-Focused Strategic Advisory and Communications
About
Our Expertise
Go-to-Market Readiness
Market & Competitive Research
New Product Commercialization
Thought Leadership & Media
Communications Strategy
Case Studies
Calla Lily
Radiant Healthcare
Press & Media
Resources
Insights
Downloads
Newsletters
Get in Touch
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Folder: Our Expertise
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Go-to-Market Readiness
Market & Competitive Research
New Product Commercialization
Thought Leadership & Media
Communications Strategy
Folder: Case Studies
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Calla Lily
Radiant Healthcare
Press & Media
Folder: Resources
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Download Center White Paper: Navigating Regulations for AI-Driven Clinical Decision Support Software
White Paper Navigating Laws and FDA Regulations for AI-Driven Clinical Decision Support Software.jpg Image 1 of
White Paper Navigating Laws and FDA Regulations for AI-Driven Clinical Decision Support Software.jpg
White Paper Navigating Laws and FDA Regulations for AI-Driven Clinical Decision Support Software.jpg

White Paper: Navigating Regulations for AI-Driven Clinical Decision Support Software

$0.00

Understand the regulatory landscape. Build with confidence.

As AI transforms clinical decision support (CDS) software, navigating FDA oversight, HIPAA compliance, and international regulatory frameworks has become essential — and complex. This white paper offers healthcare founders, operators, and developers a clear, actionable breakdown of how to bring AI-powered CDS tools to market with transparency, compliance, and trust.

Inside you’ll learn:

  • Which AI-driven CDS tools fall under FDA’s Software as a Medical Device (SaMD) framework

  • How the 21st Century Cures Act impacts your regulatory path

  • Requirements for pre-market approval (510(k), De Novo, and PMA)

  • How to avoid bias and ensure equity in AI models

  • HIPAA, GDPR, and state-specific data privacy laws (including California’s genetic data protections)

  • Global frameworks: What to know about MHRA (UK) and WHO recommendations

Who it’s for:
Healthcare AI startups, regulatory leads, legal teams, investors evaluating digital health, and product teams building CDS tools.

Written by:
Dr. Adam Brown, MD, MBA
Dr. Steven A. Farmer, MD, PhD
Edited by Kerrie Rushton

Download White Paper

Understand the regulatory landscape. Build with confidence.

As AI transforms clinical decision support (CDS) software, navigating FDA oversight, HIPAA compliance, and international regulatory frameworks has become essential — and complex. This white paper offers healthcare founders, operators, and developers a clear, actionable breakdown of how to bring AI-powered CDS tools to market with transparency, compliance, and trust.

Inside you’ll learn:

  • Which AI-driven CDS tools fall under FDA’s Software as a Medical Device (SaMD) framework

  • How the 21st Century Cures Act impacts your regulatory path

  • Requirements for pre-market approval (510(k), De Novo, and PMA)

  • How to avoid bias and ensure equity in AI models

  • HIPAA, GDPR, and state-specific data privacy laws (including California’s genetic data protections)

  • Global frameworks: What to know about MHRA (UK) and WHO recommendations

Who it’s for:
Healthcare AI startups, regulatory leads, legal teams, investors evaluating digital health, and product teams building CDS tools.

Written by:
Dr. Adam Brown, MD, MBA
Dr. Steven A. Farmer, MD, PhD
Edited by Kerrie Rushton

Understand the regulatory landscape. Build with confidence.

As AI transforms clinical decision support (CDS) software, navigating FDA oversight, HIPAA compliance, and international regulatory frameworks has become essential — and complex. This white paper offers healthcare founders, operators, and developers a clear, actionable breakdown of how to bring AI-powered CDS tools to market with transparency, compliance, and trust.

Inside you’ll learn:

  • Which AI-driven CDS tools fall under FDA’s Software as a Medical Device (SaMD) framework

  • How the 21st Century Cures Act impacts your regulatory path

  • Requirements for pre-market approval (510(k), De Novo, and PMA)

  • How to avoid bias and ensure equity in AI models

  • HIPAA, GDPR, and state-specific data privacy laws (including California’s genetic data protections)

  • Global frameworks: What to know about MHRA (UK) and WHO recommendations

Who it’s for:
Healthcare AI startups, regulatory leads, legal teams, investors evaluating digital health, and product teams building CDS tools.

Written by:
Dr. Adam Brown, MD, MBA
Dr. Steven A. Farmer, MD, PhD
Edited by Kerrie Rushton

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