Patient preferences as human factors for health data recommender systems and shared decision making in orthopaedic practice

BACKGROUND: A core set of requirements for designing AI-based Health Recommender Systems (HRS) is a thorough understanding of human factors in a decision-making process. Patient preferences regarding treatment outcomes can be one important human factor. For orthopaedic medicine, limited communicatio...

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Detalles Bibliográficos
Autores principales: Singh, Akanksha, Schooley, Benjamin, Floyd, Sarah B., Pill, Stephen G., Brooks, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318339/
https://www.ncbi.nlm.nih.gov/pubmed/37408539
http://dx.doi.org/10.3389/fdgth.2023.1137066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318339/
https://www.ncbi.nlm.nih.gov/pubmed/37408539
http://dx.doi.org/10.3389/fdgth.2023.1137066

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