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Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 45

Effects and challenges of Governance, Lean Healthcare and Digital Transformation in Outpatient Management: An integrative review

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DOI: http://dx.doi.org/10.15439/2025F2505

Citation: Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 45, pages 33–40 ()

Full text

Abstract. This study presents an integrative literature review exploring the intersection between governance, Lean Healthcare, and digital transformation in the management of specialized outpatient clinics. The increasing complexity of healthcare demands strategies that improve operational efficiency, ensure regulatory compliance, and support sustainable service delivery. The review analyzes data-driven models, digital technologies, and lean methodologies applied to optimize resource allocation, reduce waiting times, and improve patient experience. Findings highlight the relevance of predictive analytics, artificial intelligence, and interoperable health information systems as enablers of smarter healthcare services. Key challenges include system fragmentation, resistance to organizational change, and technological infrastructure gaps. The study proposes a framework that combines organizational governance, continuous improvement, and digital integration to enhance performance in outpatient settings. It contributes to the advancement of interdisciplinary research and supports evidence-based decision-making in health service management.This study presents an integrative literature review exploring the intersection between governance, Lean Healthcare, and digital transformation in the management of specialized outpatient clinics. The increasing complexity of healthcare demands strategies that improve operational efficiency, ensure regulatory compliance, and support sustainable service delivery. The review analyzes data-driven models, digital technologies, and lean methodologies applied to optimize resource allocation, reduce waiting times, and improve patient experience. Findings highlight the relevance of predictive analytics, artificial intelligence, and interoperable health information systems as enablers of smarter healthcare services. Key challenges include system fragmentation, resistance to organizational change, and technological infrastructure gaps. The study proposes a framework that combines organizational governance, continuous improvement, and digital integration to enhance performance in outpatient settings. It contributes to the advancement of interdisciplinary research and supports evidence-based decision-making in health service management.

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