Expert perspectives on GenAI in healthcare, case studies, and industry trends.
When organizations evaluate AI-enabled health economic modeling tools, the question most frequently posed is whether the AI can replicate a published model. This white paper argues that the replication standard is the wrong benchmark, conflating two fundamentally different competencies, and that procurement decisions built around it risk selecting for the wrong capabilities.
View Abstract & Download →When organizations evaluate AI-enabled health economic modeling tools, the question most frequently posed is whether the AI can replicate a published model. The appeal is understandable...
View Abstract & Download →The widespread adoption of AI tools in HEOR has created a critical problem: common evaluation metrics were designed for simpler tasks. This paper explores where traditional metrics fall short in complex...
View Abstract & Download →LLM errors in HEOR are invisible in output format. This white paper argues that responsible LLM use requires structural workflow architecture: automated validation, parameter-level traceability, and task decom...
View Abstract & Download →From "One" to "Many": This presentation explores the shift from single-agent LLMs to multi-agent systems. It details common design patterns—such as sequential systems, parallel systems, and independen...
View Abstract & Download →This guide explores the shift from treating AI as a mere tool to a collaborative teammate. Learn how to effectively brief an AI by leveraging the delegation skills you already possess, setting the rig...
View Abstract & Download →True power in Generative AI comes from asking the right questions, not just using the tools. This guide outlines the five foundational skills every Health Economics and Outcomes Research (HEOR) team m...
View Abstract & Download →This paper explores the hidden crisis of 'digital graveyards' where valuable research insights are lost. It argues that the true power of GenAI lies not just in automating tasks, but in revolutionizin...
View Abstract & Download →Foundation LLMs present significant challenges for scientific research, from hallucinations to a lack of reproducibility. This presentation outlines a methodical framework for transforming general-pur...
View Abstract & Download →LLM hallucinations are a multifaceted challenge, not a single problem. This brief decodes the primary causes of AI-generated misinformation—from imperfections in training data to suboptimal context ma...
View Abstract & Download →The term 'AI agent' is often misused, leading to confusion and poor tool selection. This guide clarifies the difference between structured AI workflows (like a systematic review) and adaptive AI agent...
View Abstract & Download →GenAI is more than just a tool; it requires a new set of skills for researchers. This presentation outlines a practical upskilling journey, covering foundational principles, the balance between prompt...
View Abstract & Download →This practical presentation demonstrates a specific use case for augmenting the creation of health economic model reports. It showcases a concrete workflow where LLMs assist in drafting and reviewing ...
View Abstract & Download →The choice between off-the-shelf AI and a custom solution is not just a technical preference; it's a strategic decision between a consumer-grade product and an enterprise-grade system. This white pape...
View Abstract & Download →Retrieval-Augmented Generation (RAG) is more than a simple pipeline; it's a sophisticated workflow that requires a deliberate architectural approach to succeed at scale. This white paper provides a bl...
View Abstract & Download →The debate over Large Language Models isn't about hype versus fear; it's about a fundamental misunderstanding that leads organizations to treat them as standalone 'magic boxes,' resulting in staggerin...
View Abstract & Download →Many organizations face what I call the 'AI Trust Paradox'—the potential efficiency of AI is often lost to the time-consuming manual verification needed to meet scientific standards. This whitepaper e...
View Abstract & Download →This whitepaper argues that the 95% failure rate of enterprise GenAI projects is not due to model limitations, but rather a lack of 'Context Engineering', a systematic architectural approach that prio...
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