Analytics and Decision Support Systems in Global Health Informatics

F. Martin-Sanchez, V. Aguiar-Pulido

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

The proliferation of technology to collect and generate data has opened new opportunities for global health informatics. In this context, applications that use data analytics and decision support methods are becoming increasingly important. In this chapter we review recent literature that fall under these two categories. Within the knowledge discovery process, data analytics and decision support represent critical steps to obtain recommendations for global health interventions derived from data. Enabling technologies, such as big data or mobile health, have proved to play a critical role in overcoming limitations involving access to healthcare and prevention, especially apparent in low- and middle-income populations, as well as in underrepresented communities in high-income countries. Given the current situation, the need for training the next generation of global health informaticians becomes evident and indispensible. From the analysis of the literature presented along the chapter, a number of common characteristics and requirements for decision support systems are identified and several promising future directions are then suggested.

Original languageEnglish (US)
Title of host publicationGlobal Health Informatics
Subtitle of host publicationHow Information Technology Can Change Our Lives in a Globalized World
PublisherElsevier Inc.
Pages195-217
Number of pages23
ISBN (Electronic)9780128046173
ISBN (Print)9780128045916
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Big data
  • Computational modeling
  • Data analytics
  • Decision support systems
  • Global health informatics
  • Mobile health

ASJC Scopus subject areas

  • Medicine(all)

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