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Health economic modeling for medical technologies in Europe

Early and comprehensive economic models to determine economic value proposition and inform healthcare decision-makers

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Reimbursement summary for angioplasty of arteries of lower extremities

This post presents an extract from our reimbursement analysis for angioplasty of arteries lower extremities using plain and drug-coated balloons (DCBs) for peripheral artery disease in England, France and Germany. Plain balloon angioplasty is reimbursement via DRG solely and DCBs are reimbursement via combination of DRG and add-on reimbursement.
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Health Economic Publication Digest: Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs

MTRC shares the most relevant and impactful publications in the field of market access and HEOR for medical technologies in Europe through its Health Economic Publications Digest. 

In a recent publication, Reason et al. introduced how generative artificial intelligence (GenAI), particularly large language models (LLMs) like ChatGPT, can support health economics and outcomes research (HEOR). The authors highlight that LLMs can streamline a range of HEOR activities, including literature summary, data extraction, report drafting, and statistical code generation. However, they also point out key limitations, such as the risk of hallucinated outputs, security vulnerabilities, reproducibility issues, and potential bias. Implementing LLMs in HEOR necessitates robust security measures to ensure compliance with the European Union’s General Data Protection Regulation (GDPR) and the United States’ Health Insurance Portability and Accountability Act (HIPAA) when handling sensitive data.

Access the full-text article here.