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

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

BackgroundA 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 communication...

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Bibliographic Details
Main Authors: Akanksha Singh, Benjamin Schooley, Sarah B. Floyd, Stephen G. Pill, John M. Brooks
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Digital Health
Subjects:
patient preference
shared decision making
human-factors design
health recommender system
treatment efficiency
treatment outcome preference
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1137066/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1137066/full

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