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Establishing a Health CASCADE-Curated Open-Access Database to Consolidate Knowledge About Co-Creation: Novel Artificial Intelligence-Assisted Methodology Based on Systematic Reviews.

Danielle Marie AgnelloQuentin Emile Armand LoiselQingfan AnGeorge BalaskasRabab ChrifouPhilippa M DallJanneke de BoerLea Rahel DelfmannMaria Giné-GarrigaKunshan GohGiuliana Raffaella LongworthKatrina MessihaLauren McCaffreyNiamh SmithArtur SteinerMira VogelsangSebastien F M Chastin
Published in: Journal of medical Internet research (2023)
This study produced a high-quality, open-access database about co-creation. The study demonstrates that it is possible to perform a systematic review selection process on a fragmented concept using human-AI collaboration. Our unified concept of co-creation includes the co-approaches (co-creation, co-design, and co-production), forms of participatory research, and user involvement. Our analysis of authorship, citations, and source landscape highlights the potential lack of collaboration among co-creation researchers and underscores the need for future investigation into the different research methodologies. The database provides a resource for relevant literature and can support rapid literature reviews about co-creation. It also offers clarity about the current co-creation landscape and helps to address barriers that researchers may face when seeking evidence about co-creation.
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