HTA insights without the headaches: Evidence that shapes decisions

If you have ever tried to extract strategic insight from a 200-page HTA report, you will know the problem. These reports are vital, but they are long, unstructured, and inconsistent across countries. Each HTA body has its own way of presenting rationale, its own format for endpoints, and its own approach to pricing commentary. What looks like a decision in one market might be described as guidance in another.

For strategic Market Access consultancies, the challenge is not that HTA intelligence is unavailable. The challenge is that it is buried in documents that were never designed to be queried. Time is lost searching, copying, and manually tagging. Important signals are sometimes missed. And when multiple markets are involved, the inconsistencies can make cross-country comparison painfully difficult.

At Knowledgeable, we are building an AI-enhanced operating system that treats HTA decisions as structured knowledge. The goal is simple: give consultants a market access platform that turns evidence into strategy without the headaches.

Why unstructured HTA data slows strategy

HTA reports carry weight. They influence pricing, reimbursement, and the commercial trajectory of assets. But most consulting teams still approach them as static PDFs. Analysts spend days highlighting key phrases, pulling out price comments, or trying to map endpoints back to clinical data.

This manual approach creates three problems:

• Slow turnaround: By the time insights are extracted, the opportunity for rapid response may have passed.
• Incomplete capture: Important signals such as comparator relevance or rationale for rejection can be missed in the noise.
• Inconsistent framing: A price comment from NICE cannot be directly compared to one from HAS without careful context-setting.

The result is not only inefficiency but also risk. If evidence is incomplete or misaligned, strategic recommendations can lose credibility.

What structured HTA intelligence should deliver

Imagine a market access software platform where HTA decisions across NICE, HAS, IQWiG, and others are stored in a clear, filterable database. Instead of trawling through PDFs, consultants could query structured fields and compare like with like.

We are building exactly that:

• A structured knowledge base of HTA decisions across major bodies
• Tagging by asset, population, endpoints, price comments, comparator relevance, and rationale
• Filters that reflect consulting needs such as indication, mechanism of action, or sponsor

By grounding this in a clear ontology, the system ensures that an endpoint tagged in one HTA aligns with the same concept in another. This allows consultants to see patterns across markets rather than just isolated outcomes. And because AI outputs are traceable, attributable, and contextually correct, teams can use them with confidence in client-facing work.

Moving evidence to a predictive strategy

The real benefit is not just speed. It is the ability to move from reactive review to predictive strategy. When HTA intelligence is structured and aligned, consultants can:

• Anticipate hurdles: Spot where similar assets have failed on endpoints or comparators.
• Replicate success: Identify the conditions under which reimbursement was granted and apply those lessons to new assets.
• Justify positioning: Use past HTA logic to strengthen value narratives and pricing strategies.

I remember a project where a team spent weeks assembling past HTA evidence to support a payer negotiation. By the time the work was ready, the window to influence had closed. With structured HTA intelligence, that analysis could have been generated in hours, giving the client time to act.

Closing thought

HTA reports will always be complex, but working with them should not feel like starting from zero each time. For strategic Market Access consultancies, the value lies not in reading every line, but in knowing which insights shape decisions.

That is why we are building a market access knowledge management system that captures HTA intelligence with clarity and context. By combining disambiguation of authors, confidence in insights with clear data lineage rooted in trusted sources, and the power of AI for market access, we aim to take the headaches out of HTA and turn evidence into strategy.

Because evidence-based market access is not about collecting more reports. It is about structuring knowledge so teams can work faster, smarter, and with confidence.