Abstract

In the past few decades, we have witnessed tremendous advancements in biology, life sciences and healthcare [...]

Highlights

  • In the past few decades, we have witnessed tremendous advancements in biology, life sciences and healthcare

  • Carnicero et al [1] identified the main challenges of the National Health Service of Spain and proposed its transformation into a Learning Health System (LHS), which consists of Big Data tools and machine learning systems

  • The authors identify the limitations of the individual clinical information in electronic health records (EHRs)

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Summary

Big Data in Healthcare Systems

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The authors first performed a comprehensive comparison of Spain’s health and healthcare-related indicators with those of European Union averages They conducted longitudinal studies of the healthcare system in Spain, which included yearly health expenditure as %GDP, waiting times for elective surgery, etc. Based on these analyses, the authors identify the limitations of the individual clinical information in electronic health records (EHRs). The performance of the proposed method is demonstrated using publicly available clinical datasets This Special Issue includes several contributions that focus on the application of novel wearable or portable sensors and biosignals for improved care. Adding other biosignals such as EDA or pupil size to an EEG further enhances the detection performance in some participants

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