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RWE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 16.
Castanon, Alejandra; Tsvetanova, Antonia; Ramagopalan, Sreeram V.
Afiliação
  • Castanon A; Lane Clark & Peacock LLP, London, W1U 1DQ, UK.
  • Tsvetanova A; Lane Clark & Peacock LLP, London, W1U 1DQ, UK.
  • Ramagopalan SV; Lane Clark & Peacock LLP, London, W1U 1DQ, UK.
J Comp Eff Res ; 13(8): e240095, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38967245
ABSTRACT
In this update, we discuss recent US FDA guidance offering more specific guidelines on appropriate study design and analysis to support causal inference for non-interventional studies and the launch of the European Medicines Agency (EMA) and the Heads of Medicines Agencies (HMA) public electronic catalogues. We also highlight an article recommending assessing data quality and suitability prior to protocol finalization and a Journal of the American Medical Association-endorsed framework for using causal language when publishing real-world evidence studies. Finally, we explore the potential of large language models to automate the development of health economic models.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Tecnologia Biomédica Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Comp Eff Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Tecnologia Biomédica Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Comp Eff Res Ano de publicação: 2024 Tipo de documento: Article