Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315767 
Year of Publication: 
2024
Citation: 
[Journal:] Business & Information Systems Engineering [ISSN:] 1867-0202 [Volume:] 66 [Issue:] 3 [Publisher:] Springer Fachmedien Wiesbaden [Place:] Wiesbaden [Year:] 2024 [Pages:] 335-355
Publisher: 
Springer Fachmedien Wiesbaden, Wiesbaden
Abstract: 
Abstract The field of healthcare is characterized by constant innovation, with gender-specific medicine emerging as a new subfield that addresses sex and gender disparities in clinical manifestations, outcomes, treatment, and prevention of disease. Despite its importance, the adoption of gender-specific medicine remains understudied, posing potential risks to patient outcomes due to a lack of awareness of the topic. Building on the Innovation Decision Process Theory, this study examines the spread of information about gender-specific medicine in online networks. The study applies social network analysis to a Twitter dataset reflecting online discussions about the topic to gain insights into its adoption by health professionals and patients online. Results show that the network has a community structure with limited information exchange between sub-communities and that mainly medical experts dominate the discussion. The findings suggest that the adoption of gender-specific medicine might be in its early stages, focused on knowledge exchange. Understanding the diffusion of gender-specific medicine among medical professionals and patients may facilitate its adoption and ultimately improve health outcomes.
Subjects: 
Health data
Gender-specific medicine
Social network analysis
Diffusion of innovations
Twitter
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version
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