Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review

Despite the advances in modern medicine, the use of data-driven technologies (DDTs) to prevent surgical site infections (SSIs) remains a major challenge. Scholars recognise that data management is the next frontier in infection prevention, but many aspects related to the benefits and advantages of u...

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Bibliographic Details
Published in:Journal of healthcare informatics research 2023-03, Vol.7 (1), p.1-41
Main Authors: Irgang, Luís, Barth, Henrik, Holmén, Magnus
Format: Article
Language:English
Subjects:
Biomedical Engineering and Bioengineering
Computational Biology/Bioinformatics
Computational Intelligence
Computer Science
Data Mining and Knowledge Discovery
Health Informatics
Healthcare technology
IDC
Infection prevention and control
Review
Review Article
Surgical site infections
Systematic review
Technology implementation
Value-based Care
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Summary:Despite the advances in modern medicine, the use of data-driven technologies (DDTs) to prevent surgical site infections (SSIs) remains a major challenge. Scholars recognise that data management is the next frontier in infection prevention, but many aspects related to the benefits and advantages of using DDTs to mitigate SSI risk factors remain unclear and underexplored in the literature. This study explores how DDTs enable value creation in the prevention of SSIs. This study follows a systematic literature review approach and the PRISMA statement to analyse peer-reviewed articles from seven databases. Fifty-nine articles were included in the review and were analysed through a descriptive and a thematic analysis. The findings suggest a growing interest in DDTs in SSI prevention in the last 5 years, and that machine learning and smartphone applications are widely used in SSI prevention. DDTs are mainly applied to prevent SSIs in clean and clean-contaminated surgeries and often used to manage patient-related data in the postoperative stage. DDTs enable the creation of nine categories of value that are classified in four dimensions: cost/sacrifice, functional/instrumental, experiential/hedonic, and symbolic/expressive. This study offers a unique and systematic overview of the value creation aspects enabled by DDT applications in SSI prevention and suggests that additional research is needed in four areas: value co-creation and product-service systems, DDTs in contaminated and dirty surgeries, data legitimation and explainability, and data-driven interventions.
ISSN:2509-4971
2509-498X
2509-498X
DOI:10.1007/s41666-023-00129-2