White Papers

In-depth resources exploring AI-powered MLR review, hybrid AI architectures, and best practices for pharmaceutical content compliance.

The ABCs of AI: Why Foundational AI Literacy Will Become a Requisite for Business Success

A clear guide to understanding the different types of AI—Analytical AI, Rules-Based AI, NLP, GenAI, RAG, and Human Oversight—and why a full hybrid model combining all approaches delivers superior accuracy and verifiability.

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Pre-Commercial Communications & Government Oversight

This video explains the regulatory framework governing pre-commercial and scientific communications in the life sciences industry and highlights the role of AI in supporting compliant content development. Compliance veteran Howard Dorfman outlines key principles such as truthfulness, scientific accuracy, appropriate substantiation, and alignment with a communication's intended purpose.

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Compliant Omnichannel Content—Built In, Not Bolted On

Explores how the combination of a Master Claims Library and Model Context Protocol transforms omnichannel content creation into a real-time, intelligence-driven system, enabling compliance as an embedded capability from the first word written rather than a downstream checkpoint.

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Why Our Full Hybrid Model Is Superior to GenAI Alone

Explores how SecureCHEK AI's full hybrid architecture—combining GenAI, Analytical AI, Rules-Based modules, RAG, and human oversight—overcomes the limitations of generative AI alone to deliver accuracy, reliability, and governance for mission-critical applications.

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Efficient Path for Successful AI Pilots to Validate New Prechecking Technology

A practical methodology for integrating AI into the biopharmaceutical promotional review process, featuring insights from industry leaders on making the business case, starting at the earliest point in review, and phasing in AI for sustainable adoption.

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The AI Journey: Integrating AI Pre-MLR Review to Accelerate Promotional Content Development

Developed with GlaxoSmithKline contributors, this white paper provides a methodology for integrating AI pre-MLR review to achieve commercial agility as digital content explodes, with practical steps for implementation.

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Building Blocks for Increasing MLR Efficiency with Artificial Intelligence

Examines fundamental building blocks for greater promotional review agility, including knowledge sharing, fostering collaboration, and automating critical steps with AI to eliminate preventable errors while balancing agility with compliance.

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