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Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis

dc.contributor.authorBaum, Katharina
dc.contributor.authorBaumann, Annika
dc.contributor.authorBatzel, Katharina
dc.date2024-06-01
dc.date.accessioned2024-10-30T15:27:30Z
dc.date.available2024-10-30T15:27:30Z
dc.date.issued2024
dc.description.abstractThe 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.de
dc.identifier.doi10.1007/s12599-024-00875-6
dc.identifier.issn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-024-00875-6
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45334
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 66, No. 3
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectDiffusion of innovations
dc.subjectGender-specific medicine
dc.subjectHealth data
dc.subjectSocial network analysis
dc.subjectTwitter
dc.titleInvestigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysisde
dc.typeText/Journal Article
mci.reference.pages335-355

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