Restoring clinical information system operations post data disaster: the role of IT investment, integration and interoperability

Shrivastava, Utkarsh; Hazarika, Bidyut Bikash; Rea, Alan

doi:10.1108/imds-03-2021-0128

Cited by 2 publications

(1 citation statement)

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“…Investing in new IT infrastructure can improve resiliency so that there are redundancies and the continuity of operation of critical systems is maintained. However, creating a fully functional and resilient integrated system is a difficult and time-consuming process due to the need to ensure uninterrupted interoperability between multiple systems, while integration of critical subsystems might help adopting more resilient technologies, even small ones (Shrivastava et al 2021). The most developing ones are digital twins, patients' virtual copies that use neural networks to train in resistance and deserve the terms of resilience, both to healthcare resilience and IT resilience (Zhang and Tai 2022;Zhang et al 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Resilience and Risk Assessment in Digital Healthcare Systems

Tzitzili,

Spyrou,

Platis

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Resilience assessment of a digital healthcare system is important to maintain continuity of critical operations, downtime of which may affect even patient's life. A resilient Hospital Information System (HIS) or subsystem should maintain its interoperability with other subsystems despite challenges such as technical failures, data breaches or natural disasters. This resilience is critical in ensuring that the HIS can continue providing accurate and timely information to healthcare providers and patients, even during times of crisis. The complexity of multiple Information Technology (IT) systems in hospitals and the interaction of subsystems with HIS, electronic patient records and national e-order systems for e-prescriptions or clinical orders highlight the importance of ensuring interoperability. The use of Markov models in reliability block diagrams is an approach that takes into account the weaknesses of IT equipment and infrastructure over time. With this approach, the reliability of the multidimensional functioning of the different subsystems in the health field can be assessed. The failure probability of a subsystem can be estimated, and the overall resilience of the systems can be highlighted. Limited literature in this area is notable. However, many additional steps need to be taken to improve resilience, since low resilience investments, problematic or incorrect employees' training on safety issues, lack of cybersecurity resilience strategies and risk management frameworks of healthcare organizations were identified as significant gaps in the digital healthcare system's resilience.

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Section: Literature Reviewmentioning

confidence: 99%