From Blank Page to Structured Insight — Faster, Smarter, and Always Human-Led

Welcome to the GPT Deep Research section of GPT4 Pharma.

This page is dedicated to one of the most powerful recent evolutions of large language models: GPT Deep Research. Since the release of this functionality, there is, in my view, no longer any reason to start a HEOR, HTA, or market access project from a blank page.

Deep Research allows GPT to go far beyond simple text generation. It enables structured, multi-step analytical work — from targeted literature identification to topic landscape mapping, trend synthesis, and drafting of comprehensive technical documents, such as Targeted Literature Reviews (TLRs) or early strategic concept papers.

What You’ll Find in This Section

In this section, I share Deep Research–driven papers and analyses exploring concrete applications of AI in HEOR, HTA, and Market Access, including:

• AI-supported Targeted Literature Reviews (TLRs) on emerging or complex topics

• Exploratory papers inspired by major congresses and industry trends (e.g. ISPOR)

• Conceptual and practical use cases for AI in:

  • Evidence synthesis

  • RWE generation and interpretation

  • HTA strategy preparation

  • Market access workflows and decision-making

These documents are not theoretical showcases. They are meant to be readable, actionable, and transferable to real-world professional settings.

A New Way of Working: Never Start from Scratch Again

The philosophy behind this section is simple:

Let AI handle the technical groundwork — structure, breadth, synthesis — and let humans do what remains irreplaceable.

GPT Deep Research can:

• Rapidly structure a topic

• Identify key concepts, frameworks, and references

• Produce a solid, coherent first version of complex deliverables

Human expertise remains essential for:

• Critical review and validation

• Quality control and contextual judgment

• Strategic interpretation

• Ethical responsibility

• Communication, persuasion, and stakeholder interaction

AI does the heavy lifting.
Humans stay in control. Always.

Why This Matters for HEOR & Market Access

In HEOR and Market Access, time is scarce, complexity is high, and expectations are increasing. Deep Research makes it possible to:

• Accelerate early-phase thinking and ideation

• Improve consistency and methodological rigor

• Free up time for higher-value strategic work

• Reduce inefficiencies linked to “starting from zero”

Used correctly — and always under human supervision — AI becomes a force multiplier, not a replacement.

An Invitation to Explore and Implement

The papers shared in this section aim to:

• Spark ideas

• Inspire new workflows

• Support daily professional practice

• Encourage thoughtful, responsible AI adoption

They are starting points — materials to read, challenge, refine, and adapt to your own context.

If you are working in HEOR, HTA, Market Access, or evidence strategy, this section is designed to help you move faster, think broader, and work smarter, without ever compromising on scientific rigor or human judgment.

I’ll progressively enrich this page with new Deep Research outputs.
Feel free to read, reuse concepts, and reach out if you want to discuss applications, limits, or opportunities.

AI is here to assist.
Human expertise remains the compass.