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Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review.

Euan AndersonMarilyn R LennonKimberley KavanaghNatalie McFayden WeirDavid KernaghanMarc RoperEmma DunlopLinda Lapp
Published in: Online journal of public health informatics (2024)
All papers in this review were small-scale pilots and, as such, future research should seek to apply these predictive techniques into larger trials. Additionally, further integration of routinely collected care data and patient-reported outcomes into predictive models in telecare and telehealth offer significant opportunities to improve the analytics being performed and should be explored further. Data sets used must be of suitable size and diversity, ensuring that models are generalizable to a wider population and can be appropriately trained, validated, and tested.
Keyphrases
  • big data
  • patient reported outcomes
  • electronic health record
  • healthcare
  • artificial intelligence
  • machine learning
  • data analysis
  • body composition