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Healthcare Analytics: Conceptualizing a Research Agenda

2024·2 Zitationen·Procedia Computer ScienceOpen Access
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2

Zitationen

3

Autoren

2024

Jahr

Abstract

This research recognizes the pressing need for innovative research in healthcare, enabling the transition towards analytics, by explaining how previous studies utilized big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to understand the literature, identify research gaps, and posit research questions for researchers, academic institutions, and governmental healthcare organizations. We intend to explain how contemporary analytics have been used to address healthcare concerns as well as to posit several research questions for future studies based on gaps which we have identified. The study has multi-folds contribution areas: first, it provides a state-of-the-art review to healthcare analytics, second, it posits a research agenda to advance the knowledge in this area further.

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Institutionen

Themen

Artificial Intelligence in HealthcareBig Data and Business IntelligenceArtificial Intelligence in Healthcare and Education
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