Data science, analytics and artificial intelligence in e-health: trends, applications and challenges

Juliana Castaneda ^[1] ; Laura Calvet ^[1] ; Sergio Benito ^[1] ; Abtin Tondar ^[1] ; Angel A. Juan ^[2]
1. [1] Universitat Oberta de Catalunya
  
  Universitat Oberta de Catalunya
  
  Barcelona, España
2. [2] Universidad Politécnica de Valencia
  
  Universidad Politécnica de Valencia
  
  Valencia, España
Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 47, Nº. 1, 2023, págs. 81-128
Idioma: inglés
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Resumen
- More than ever, healthcare systems can use data, predictive models, and intelligent algorithms to optimize their operations and the service they provide. This paper reviews the existing literature regarding the use of data science/analytics methods and artificial intelligence algorithms in healthcare. The paper also discusses how healthcare organizations can benefit from these tools to efficiently deal with a myriad of new possibilities and strategies. Examples of real applications are discussed to illustrate the potential of these methods. Finally, the paper highlights the main challenges regarding the use of these methods in healthcare, as well as some open research lines.