Domain 01
Evidence Synthesis
Systematic literature reviews, network meta-analyses, indirect treatment comparisons, and MAICs, covering practical AI workflows for the evidence work that underpins every HTA submission.
Domain 02
Real-World Evidence & Biostatistics
Clinical trial analysis, RWE from EHR and claims databases, PRO analysis, and survival analysis. AI accelerates parts of this work; statistical rigour must remain non-negotiable.
Domain 03
Health Economic Modelling
Model conceptualisation, development, and validation, from early decision-analytic frameworks through to submission-ready Markov and partitioned survival models. Where AI helps and where it creates risk.
Domain 04
HTA Evidence & Submissions
Dossier development and submission strategy for NICE, CADTH, EU-HTA, and global HTA bodies. This covers how AI fits into the evidence assembly process and what responsible use looks like in a regulatory context.
Domain 05
Market Access Strategy
Payer intelligence, HTA signal interpretation, and value story development, with AI as a strategic thinking partner for the market access decisions that directly affect reimbursement outcomes.
Domain 06
Prompting & Pipelines
Practical prompting techniques, tool benchmarks tested on real HEOR tasks, and end-to-end pipeline builds, with the architecture, the code, and failure modes included.
