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

Carlos Antonio Godoy Junior (), Francesco Miele, Laura Mäkitie, Eleonora Fiorenzato, Maija Koivu, Lytske Jantien Bakker, Carin Uyl- de Groot, William Ken Redekop and Welmoed Kirsten Deen
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Carlos Antonio Godoy Junior: Erasmus University Rotterdam
Francesco Miele: University of Trieste
Laura Mäkitie: Helsinki University Hospital
Eleonora Fiorenzato: University of Padova
Maija Koivu: Helsinki University Hospital
Lytske Jantien Bakker: Erasmus University Rotterdam
Carin Uyl- de Groot: Erasmus University Rotterdam
William Ken Redekop: Erasmus University Rotterdam
Welmoed Kirsten Deen: Erasmus University Rotterdam

The Patient: Patient-Centered Outcomes Research, 2024, vol. 17, issue 3, No 8, 275-285

Abstract: 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. Methods Qualitative interviews and focus-groups were conducted with 27 persons with PD (PwPD) and six neurologists from Finland and Italy. The discussions covered traditional disease progression detection and the prospects of integrating AI and RMS. Sessions were recorded, transcribed, and underwent thematic analysis. Results The study involved five individual interviews (four Italian participants and one Finnish) and six focus-groups (four Finnish and two Italian) with PwPD. Additionally, six neurologists (three from each country) were interviewed. Both cohorts voiced frustration with current monitoring methods due to their limited real-time detection capabilities. However, there was enthusiasm for AI-assisted RMS, contingent upon its value addition, user-friendliness, and preservation of the doctor-patient bond. While some PwPD had privacy and trust concerns, the anticipated advantages in symptom regulation seemed to outweigh these apprehensions. Discussion The study reveals a willingness among PwPD and neurologists to integrate RMS and AI into PD management. Widespread adoption requires these technologies to provide tangible clinical benefits, remain user-friendly, and uphold trust within the physician-patient relationship. Conclusion This study offers insights into the potential drivers and barriers for adopting AI-assisted RMS in PD care. Recognizing these factors is pivotal for the successful integration of these digital health tools in PD management.

Date: 2024
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DOI: 10.1007/s40271-023-00669-0

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