Network Analytics in Healthcare Decision Making

Dear Colleagues,

We would like to invite papers to this Special Issue of the International Journal of Environmental Research and Public Health, which will explore the application of different measures, methods and models of network analytics to the decision-making process of healthcare systems.
The principal goal of a well-structured healthcare system is to provide the best possible care to its consumers. Various healthcare stakeholders including general practitioners, specialists, hospitals, radiology and image providers, pathology service providers, pharmacies, aged care facilities and funders work together to keep the whole healthcare system running smoothly. These healthcare entities generate a large amount of data, which become valuable resources that help in making evidence-based decisions and understanding how the whole system is performing. Since these entities and the data they generate are inherently connected, network analytics has a significant potential to offer insights into the hidden relationships across these data elements, which can eventually facilitate the process of healthcare decision-making procedure. Due to their strong potential in revealing hidden insights of any networks, the measures (e.g., network centrality, centralization and density), methods (e.g., community detection, sub-group and core-periphery analysis) and models (e.g., exponential random graph and structural equivalence) of network analytics have gained wide acceptability in healthcare research in recent years.
In this Special Issue, we welcome the submission of methodological, empirical and review papers that use methods, measures and models of data analytics and have a clear implication for healthcare decision-making. The submitted papers can be based on primary (e.g., based on study design) and/or secondary research data (e.g., administrative claim data and electronic medical records).
Papers of a high academic standard addressing any healthcare decision-making issues using network analytics are invited for submission to this Special Issue.

Dr. Shahadat Uddin
Guest Editor

Manuscript Submission Information

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