Abbreviations
Societal decision making
Below, you find resources on Health Technology Assessment (HTA) methods explored and developed in the project, including an Early HTA for evaluating the value and cost-effectiveness of AI-based tools. These materials are designed to assist healthcare managers, policymakers, clinicians, and other stakeholders in making informed decisions about integrating AI technologies into clinical practice.
Assessment framework
Resources focusing on HTA frameworks, including the adaptation of the EUnetHTA Core Model for AI-supported technologies. Details on the AI-Mind project and its application of HTA methods to assess AI technologies for cognitive health.
Health technology assessment framework for artificial intelligence-based technologies. Read here: DOI
D6.1, September 2021: Health technology assessment framework for AI-Mind: This deliverable presents the development of a detailed Health Technology Assessment (HTA) framework for evaluating the AI-Mind solution. Based on the EUnetHTA HTA Core Model, the framework has been adapted for AI-based health technologies, defining key indicators and assessment topics. It serves as a foundation for decision-making on the use of AI-supported health technologies across Europe and represents, to our knowledge, the first HTA framework specifically designed for AI in healthcare.
D6.2, August 2022: Decision analytical model for early assessment: This deliverable provides an early assessment of the potential health outcomes and cost-effectiveness of the AI-Mind Connector and Predictor. The analysis involves constructing a decision analytical model to compare current clinical practices with a scenario in which the AI-Mind tools are implemented, helping to evaluate their impact at an early stage of development.
Poster: Assessment Methods of Artificial Intelligence Supported Health Technologies. A Systematic Literature Review and Web-page Search. (ISPOR Europe 2021). Access the poster here.
Societal decision-making
Resources focusing on societal decision-making related to healthcare technologies, including prognostic information on the quantification of the impact on quality of life. Insights into evaluating the broader societal implications of healthcare innovations.
Prognostic Information on Progression to Dementia: Quantification of the Impact on Quality of Life. Read here: DOI
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