Digital Twin Applications in Optimizing Healthcare Administrative Workflows

Mary Phudit Thai; Aung Shere Ruksat

doi:10.69725/appha.v1i1.267

Authors

Mary Phudit Thai Department of Society and Health, Faculty of Public Health, Naresuan University, Thailand
Aung Shere Ruksat Department of Society and Health, Faculty of Social Sciences and Humanities, Mahidol University, Nakhon Pathom, Thailand.

DOI:

https://doi.org/10.69725/appha.v1i1.267

Keywords:

Value based governance, Healthcare workers, Organizational efficiency, Patient centered care

Abstract

Objective: This research examines how digital twin technology improves administrative workflow efficiency by looking at four antecedents, real-time data availability, modeling capability, system integration and staff analytical ability. It also explores the role of prediction accuracy as a mediating mechanism and facility size as a moderator.
Methods: Descriptive statistics of a stratified sample from medical facilities was performed, and data were processed with IBM SPSS Statistics. Descriptive statistical analyses characterized the sample and inferential tests examined associations between variables. The research design focused on both technicalities and humanness in order to understand the sociotechnical aspect of adopting digital twin.
Results: Results indicate that if used in conjunction with staff analytical skills, timely information, sophisticated modeling and integrated systems enhance the flow through workflow. Predictive fit also amplifies the relationships by consolidating the path between our technical inputs and operational outputs, whereas plant size affects the degree to which these efficiencies are accomplished.
Novelty: By combining insights from sociotechnical systems theory, resource-based view, and innovation diffusion perspectives, this study deciphers inconsistent results in prior studies and provides an integrated framework that considers both the technological specificity as well as the firm’s context.
Implications: The findings emphasize the need for cohesive technical infrastructure and employee skills to maximize digital twin benefits. Theoretical and practical implications for understanding digital transformation in healthcare management, as well as implications for managers and policymakers motivated to improve operational performance are offered.

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Author Biographies

Mary Phudit Thai, Department of Society and Health, Faculty of Public Health, Naresuan University, Thailand

Mary Phudit Thai is a researcher at the Department of Society and Health, Faculty of Public Health, Naresuan University, Thailand. Her research interests focus on digital innovation and public health, particularly the application of digital twin technology to optimize healthcare administrative workflows. With a strong academic background in public health, she integrates multidisciplinary approaches to develop efficient and sustainable solutions for healthcare systems. She is also actively involved in international collaborations addressing the intersection of technology, health management, and community well-being.
Aung Shere Ruksat, Department of Society and Health, Faculty of Social Sciences and Humanities, Mahidol University, Nakhon Pathom, Thailand.

Aung Shere Ruksat is a lecturer and researcher at the Department of Society and Health, Faculty of Social Sciences and Humanities, Mahidol University, Nakhon Pathom, Thailand. His expertise lies in health management, health information systems, and the use of digital technologies to improve hospital administrative efficiency. His research emphasizes the integration of modern technologies to enhance healthcare service quality and support data-driven decision-making. Beyond his academic work, he contributes to scientific publications on health innovations and promotes cross-institutional collaboration in developing adaptive and inclusive healthcare strategies.

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