Publications by authors named "M Goetghebeur"

Context: The increasing pressure on primary care services calls for efficient approaches to assess the potential value of innovations and identify facilitators to their deployment in local contexts. Objective: To explore the value arguments of innovations in primary care identified as promising during Quebec College of Family Physicians' Symposia on Innovations and to propose avenues for their improvement and deployment. Methods: Ten innovations were selected using their ranking at the Symposia and pre-established criteria to ensure diversity.

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Introduction: Evaluating rare disease interventions poses challenges for HTA agencies, including uncertainties and ethical issues and tensions. INESSS has recently adopted a Statement of Principles and Ethical Foundations which proposes a multidimensional approach to value appraisal as well as five principles to frame the evaluation process.

Areas Covered: Our aim was to identify and analyze HTA challenges for appraising interventions for rare diseases, using the Statement's approach to value appraisal as an analytical framework, and outline how the Statement's principles can help address these challenges.

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Objectives: We provide guidance for considering equity in rapid reviews through examples of published COVID-19 rapid reviews.

Study Design And Setting: This guidance was developed based on a series of methodological meetings, review of internationally renowned guidance such as the Cochrane Handbook and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for equity-focused systematic reviews (PRISMA-Equity) guideline. We identified Exemplar rapid reviews by searching COVID-19 databases and requesting examples from our team.

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Article Synopsis
  • The integration of artificial intelligence (AI) in healthcare has the potential to increase efficiency, reduce costs, and improve patient care, but it requires proper regulation and health technology assessments (HTA) to fully realize these benefits.
  • Research highlights that AI health technologies (AIHTs) present unique challenges that traditional evaluation and regulatory frameworks struggle to address, categorizing AIHTs as exceptional due to their distinct features and societal impacts.
  • The exceptional nature of AIHTs raises new ethical, social, and legal concerns, and as AI becomes more prevalent in healthcare, it is crucial for HTA agencies to adapt their processes to these advancements rather than relying solely on outdated models.
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