Intelligent health data analytics: A convergence of artificial intelligence and big data

Syed Sibte Raza Abidi, Samina Raza Abidi

Résultat de recherche: Articleexamen par les pairs

38 Citations (Scopus)

Résumé

Healthcare is a living system that generates a significant volume of heterogeneous data. As healthcare systems are pivoting to value-based systems, intelligent and interactive analysis of health data is gaining significance for health system management, especially for resource optimization whilst improving care quality and health outcomes. Health data analytics is being influenced by new concepts and intelligent methods emanating from artificial intelligence and big data. In this article, we contextualize health data and health data analytics in terms of the emerging trends of artificial intelligence and big data. We examine the nature of health data using the big data criterion to understand “how big” is health data. Next, we explain the working of artificial intelligence–based data analytics methods and discuss “what insights” can be derived from a broad spectrum of health data analytics methods to improve health system management, health outcomes, knowledge discovery, and healthcare innovation.

Langue d'origineEnglish
Pages (de-à)178-182
Nombre de pages5
JournalHealthcare Management Forum
Volume32
Numéro de publication4
DOI
Statut de publicationPublished - juill. 1 2019

Note bibliographique

Publisher Copyright:
© 2019 The Canadian College of Health Leaders.

ASJC Scopus Subject Areas

  • Health Policy

Empreinte numérique

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Citer

Abidi, S. S. R., & Abidi, S. R. (2019). Intelligent health data analytics: A convergence of artificial intelligence and big data. Healthcare Management Forum, 32(4), 178-182. https://doi.org/10.1177/0840470419846134