Quinten Health receives the Top 5% Poster award at ISPOR 2023 !

2023, 16 May

| 2 min read|
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The Quinten Health team (Alexandre Templier, Mélissa Rollot, Pauline Guilmin and Billy Amzal) is posing in front of the poster "AI-Powered Pre-Competitive Disease and Care Modeling: Building a reference Disease-Centric Framework for Value-Based Decision Making" at ISPOR global 2023.

Quinten Health is proud to announce that it has received the “Top 5% Poster” award at the 2023 ISPOR conference !

This distinction was awarded to the team working on the poster “AI-Powered Pre-Competitive Disease and Care Modeling: Building a reference Disease-Centric Framework for Value-Based Decision Making”

The top 10% of scores given by the Contributed Research Review Committee at the time of submission are considered for the award. The ISPOR committee of judges evaluated more than 500 posters among the 5% selected from the best accepted abstracts, using a peer review method.

This award for best research poster presentation was established in 1998 and designed to encourage and recognize outstanding research presentations at the scientific conferences of the professional society for health economics and outcomes research (HEOR) worldwide, ISPOR.

AI-Powered Pre-Competitive Disease and Care Modeling: Building a reference Disease-Centric Framework for Value-Based Decision Making

Poster with award : "AI-Powered Pre-Competitive Disease and Care Modeling: Building a reference Disease-Centric Framework for Value-Based Decision Making" by Quinten Health at ISPOR global 2023

The purpose of this work is to suggest a regulatory-grade, data-integrative, real-world value-based and disease-centric approach to accelerate and de-risk drugs development and launch. This approach relies on disease and care modeling on the pre-competitive space and federated data sourcing.

The poster was awarded because it met the following criteria :

  • Background provides appropriate perspective/context for the subject
  • Objectives/research questions are clearly stated
  • Research design/methods/modeling is appropriate and transparent {scores on this will determine winners in case of ties}
  • Data sources and/or sampling procedures are clear and appropriate
  • Research objectives are met/addressed
  • Factual information is kept separate from interpretations or implications
  • Abstract is presented in an unbiased manner
  • Clarity of presentation
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