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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., (© 2024. The Author(s).)

In recent decades, longer life expectancy, the consequent greater number of patients with often concurrent diseases, and the need of healthcare institutions to reduce the costs of services, have engendered changes in all European healthcare systems. On one side, healthcare systems increasingly rely on the self-management skills of patients, who undertake a growing amount of 'sickness work' from which they are relieved only in the case of severe illness. On the other, the inability of public healthcare systems to satisfy the increased demand for care has led to the growth of private healthcare organizations as well as cooperatives of health professionals who offer their services privately. The care of citizens, therefore, is increasingly distributed across networks of actors with very different objectives, logics of action and professional backgrounds (public and private healthcare organizations, community medical services, voluntary organizations). Despite the attention devoted by social studies of medicine to the work done by citizens in supporting the work of clinicians and nurses, the work performed in connection to the management of care networks have been only marginally investigated. Drawing on a qualitative research carried out in the Province of Trento (Italy) and focused on the different ways in which elderly people with chronic conditions manage their conditions outside the healthcare and welfare institutions, in this paper we are interested in deepening the understanding of the invisible work citizens perform in connection to the management of care services and professionals. That is, the work needed in order to activate, mend and coordinate complex networks of care., (Copyright © 2019 Elsevier Ltd. All rights reserved.)