Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52027, first published .
Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study

Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study

Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study

Wenhao Li   1, 2 , PhD ;   Rebecca O'Hara   3 , PhD ;   M Louise Hull   3 , PhD, CREI ;   Helen Slater   4 , PhD ;   Diksha Sirohi   3 , MPH, MBA ;   Melissa A Parker   5 , MPhil, RN, RM ;   Niranjan Bidargaddi   1 , PhD

1 College of Medicine and Public Health, Flinders University, Clovelly Park, Australia

2 School of Information Science and Engineering, Shandong Normal University, Jinan, China

3 Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, Australia

4 Curtin School of Allied Health, Curtin University, Perth, Australia

5 Canberra Endometriosis Centre, Centenary Hospital for Women and Children, Canberra, Australia

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