City Research Online

Leveraging Clinical Big Data and Analytics to Support Healthcare Delivery and Research

Moura Junior, V. (2023). Leveraging Clinical Big Data and Analytics to Support Healthcare Delivery and Research. (Unpublished Doctoral thesis, City, University of London)


This study explores the intersection between healthcare management and neuroscience research, emphasizing data-centric, results-oriented methodologies. The journey in this study follows a systematic path to uncover challenges, develop solutions, and highlight the transformative potential of clinical big data from a healthcare management perspective.

In the exploration, we navigate the relationship between emergency department boarding time and delirium in patients transitioning to a neurology ward. Scrutinizing admission patterns across the week, an intriguing pattern emerges - delayed admissions elevate the risk of early-onset delirium. This prompts a call for streamlined clinical pathways, necessitating fortified business and management strategies to alleviate bottlenecks in emergency rooms and wards. Leveraging historical and real-time data refines decision-making and hospital operations.

Next, we describe an innovative platform poised to revolutionize neurology health services and advance neuroscience research. This platform embraces data authorship and open datasets, fostering collaboration and transparency. As the framework takes shape, the convergence of biomedical science with operational efficiency becomes central. Within this convergence lies the promise of enhanced neurology patient care, augmented workforce education, and accelerated neuroscience research.

With the platform blueprint laid out, we shift from theory to tangible progress, unveiling its development journey. It equips researchers with tools and resources for comprehensive brain health informatics and machine learning research. As the platform opens to the public, a wave of opportunity sweeps the landscape. It empowers trainees, administrators, and scientists, igniting a shared endeavor to build upon existing studies and nurture a collaborative environment for transformative healthcare research and management.

In building on principles of harnessing large-scale clinical data and analytics, this research underlines the urgency of fusing data-centric and outcome-driven approaches in healthcare management and neuroscience. Presenting an analytical narrative, we aim to bridge gaps and advocate a paradigm shift where data-driven neuroscience research sets transformative precedents in healthcare delivery.

Publication Type: Thesis (Doctoral)
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > R Medicine (General)
Departments: Bayes Business School > Bayes Business School Doctoral Theses
Bayes Business School > Management
Doctoral Theses
[thumbnail of Junior thesis 2023 PDF-A.pdf] Text - Accepted Version
This document is not freely accessible until 31 January 2027 due to copyright restrictions.


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