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Scientific Article details

Title Online Medical Consultation Service-Oriented Recommendations:Systematic Review
ID_Doc 79264
Authors Jiang, HX; Mi, ZY; Xu, W
Title Online Medical Consultation Service-Oriented Recommendations:Systematic Review
Year 2024
Published
DOI 10.2196/46073
Abstract Background: Online health communities have given rise to a new e-service known as online medical consultations (OMCs),enabling remote interactions between physicians and patients. To address challenges, such as patient information overload and uneven distribution of physician visits, online health communities should develop OMC-oriented recommenders. Objective: We aimed to comprehensively investigate what paradigms lead to the success of OMC-oriented recommendations. Methods: A literature search was conducted through e-databases, including PubMed, ACM Digital Library, Springer, andScienceDirect, from January 2011 to December 2023. This review included all papers directly and indirectly related to the topicof health care-related recommendations for online services. Results: The search identified 611 articles, of which 26 (4.3%) met the inclusion criteria. Despite the growing academic interestin OMC recommendations, there remains a lack of consensus among researchers on the definition of e-service-orientedrecommenders. The discussion highlighted 3 key factors influencing recommender success: features, algorithms, and metrics. Itadvocated for moving beyond traditional e-commerce-oriented recommenders to establish an innovative theoretical frameworkfor e-service-oriented recommenders and addresses critical technical issues regarding 2-sided personalized recommendations. Conclusions: This review underscores the essence of e-services, particularly in knowledge- and labor-intensive domains suchas OMCs, where patients seek interpretable recommendations due to their lack of domain knowledge and physicians must balance their energy levels to avoid overworking. Our study's findings shed light on the importance of customizing e-service-oriented personalized recommendations to meet the distinct expectations of 2-sided users considering their cognitive abilities, decision-making perspectives, and preferences. To achieve this, a paradigm shift is essential to develop unique attributes and explore distinct content tailored for both parties involved.
Author Keywords online health community; online medical consultation; personalized recommendations; 2-sided matching; load balancing
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001296647200001
WoS Category Health Care Sciences & Services; Medical Informatics
Research Area Health Care Sciences & Services; Medical Informatics
PDF https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-46073-accepted.pdf
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