Activity Theory Analysis of the Drivers of Telemedicine: A Mixed Methods Study

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dc.contributor.author Parameswaran, Vijaya
dc.contributor.author Lyytinen, Kalle
dc.contributor.author Aron, David
dc.contributor.author Stange, Kurt
dc.date.accessioned 2023-12-26T18:40:54Z
dc.date.available 2023-12-26T18:40:54Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other a96e9ca1-a527-4031-aa51-0f94cb1d173d
dc.identifier.uri https://hdl.handle.net/10125/106808
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject IT Adoption, Diffusion, and Evaluation in Healthcare
dc.subject activity theory
dc.subject elasticity
dc.subject mixed-methods
dc.subject plasticity
dc.subject telemedicine
dc.title Activity Theory Analysis of the Drivers of Telemedicine: A Mixed Methods Study
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Telemedicine has a rich history, and recent advancements in communication technology have expanded its potential. Despite COVID-19 pandemic-related surges, telemedicine has returned to pre-pandemic levels in some settings, highlighting the need to understand the drivers and contextual factors. Previous studies using linear prediction models and single-method approaches fail to capture the complexities and nonlinear relationships among clinicians, patients, technology, and clinical tasks. We employ a concurrent mixed-method approach, combining quantitative analysis of electronic medical record (EMR) data and Activity Theory analysis of clinician interviews to investigate telemedicine drivers in primary care clinics. Findings confirm the significant role of clinicians and challenge assumptions of resistance to technology. Clinicians exhibit Plasticity and Elasticity by balancing roles, adjusting routines, and prioritizing patients' clinical and social needs to accommodate telemedicine. It informs technological design interventions to enhance telemedicine and clinical care, including data transfer, virtual touch, and sociodemographic integration into EMR.
dcterms.extent 10 pages
prism.startingpage 3507
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