Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Evaluation of an Access-Risk-Knowledge (ARK) Platform for Governance of Risk and Change in Complex Socio-Technical systems

McDonald, Nick, McKenna, Lucy orcid logoORCID: 0000-0002-6035-7656, Vining, Rebecca orcid logoORCID: 0000-0002-2715-8129, Doyle, Brian orcid logoORCID: 0000-0002-9106-9526, Liang, Junli, Ward, Marie E. orcid logoORCID: 0000-0002-6638-8461, Ulfvengren, Pernilla orcid logoORCID: 0000-0002-9709-540X, Geary, Una, Guilfoyle, John, Shuhaiber, Arwa, Hernandez, Julio orcid logoORCID: 0000-0003-1347-9631, Fogarty, Mary, Healy, Una, Tallon, Christopher and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2021) Evaluation of an Access-Risk-Knowledge (ARK) Platform for Governance of Risk and Change in Complex Socio-Technical systems. International Journal of Environmental Research and Public Health, 18 (23). ISSN 1660-4601

Three key challenges to a whole-system approach to process improvement in health systems are the complexity of socio-technical activity, the capacity to change purposefully, and the consequent capacity to proactively manage and govern the system. The literature on healthcare improvement demonstrates the persistence of these problems. In this project, the Access-Risk-Knowledge (ARK) Platform, which supports the implementation of improvement projects, was deployed across three healthcare organisations to address risk management for the prevention and control of healthcare-associated infections (HCAIs). In each organisation, quality and safety experts initiated an ARK project and participated in a follow-up survey and focus group. The platform was then evaluated against a set of fifteen needs related to complex system transformation. While the results highlighted concerns about the platform’s usability, feedback was generally positive regarding its effectiveness and potential value in supporting HCAI risk management. The ARK Platform addresses the majority of identified needs for system transformation; other needs were validated in the trial or are undergoing development. This trial provided a starting point for a knowledge-based solution to enhance organisational governance and develop shared knowledge through a Community of Practice that will contribute to sustaining and generalising that change.
Item Type:Article (Published)
Uncontrolled Keywords:Access Risk Knowledge (ARK); knowledge engineering platform; socio-technical systems; systems engineering; system change; risk in change; mindful governance; infection prevention control; COVID-19
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine learning
Computer Science > Information storage and retrieval systems
Medical Sciences > Health
Medical Sciences > Infection
Medical Sciences > Psychology
Social Sciences > Social psychology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Official URL:https://doi.org/10.3390/ijerph182312572
Copyright Information:© 2021 The Authors. Open Access (CC-BY 4.0)
Funders:Science Foundation Ireland (SFI) under Grant Agreement No. 20/COV/8463 at the ADAPT SFI Research Centre at Dublin City University and Trinity CollegeDublin., ScienceFoundation Ireland at ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology, at DCU [13/RC/2106_P2]
ID Code:27323
Deposited On:23 Jun 2022 10:54 by Lucy Mckenna . Last Modified 22 Jul 2022 16:26

Full text available as:

[thumbnail of Final paper.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record