Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson's Disease Management: Perspectives of Patients and Neurologists.

Journal: The patient
PMID: 38182935

Abstract

OBJECTIVE: Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial intelligence (AI) technologies emerge as potential aids for PD management, there's a gap in understanding how end users view these technologies. This research explores patient and neurologist perspectives on AI-assisted RMS.

Authors

  • Carlos Antonio Godoy Junior
    Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, Netherlands. godoyjunior@eshpm.eur.nl.
  • Francesco Miele
    Department of Political and Social Sciences, University of Trieste, Trieste, Italy.
  • Laura Mäkitie
    Department of Neurology, Brain Center, Helsinki University Hospital, Helsinki, Finland.
  • Eleonora Fiorenzato
    Department of Neuroscience (DNS), University of Padova, Padua, Italy.
  • Maija Koivu
    Department of Neurology, Brain Center, Helsinki University Hospital, Helsinki, Finland.
  • Lytske Jantien Bakker
    Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, Netherlands.
  • Carin Uyl-de Groot
    Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, Netherlands.
  • William Ken Redekop
    Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, Netherlands.
  • Welmoed Kirsten van Deen
    Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals