Leader: Tiziana Russo Spena (UNINA); Other collaborator(s):
1) Analysis of patients’ needs based on risk-based segmentation. 2) Analysis of patient journey as it is (patients, families, doctors, caregivers), etc. and identify different patient journey mapping. 3) Define how smart technologies can improve patient engagement and journey as well as caregivers’ involvement to sustain personalized prevention. 4) Codify new patient journey risk-based mapping 5) Design the architecture of system of insight and system of engagement to foster personalized prevention in patient journey. 6) Evaluation and measurement of health outcome, i.e. patients’ wellbeing. 7) Propose practices and policies related to personalized prevention for caregivers, professionals and policy-makers
Brief description of the activities and of the intermediate results
Literature review using Kitchenham and PRISMA approach including the following research items: digital technology (digital solution, mobile app, Internet of Thinks, ...), digital health (telemedicine, telerehabilitation, digital medicine,...), and ageing processes (including healthy ageing, ageing management, ageing prevention). On the 2062 references investigated, 1156 were exluded as duplicated, 343 were excluded for eligibility, 256 after screening of title and abstract, leaving 307 articles for full text screening.
After a quality assesment, 259 were removed, leaving 42 articles for the revision.
Main policy, industrial and scientific implications
Building on the guiding principles of connected care and the patient journey, an advanced conceptual model was developed that identifies three main categories through which digital solutions should operate to optimize health care: prevention, personalized care, and health maintenance. These categories do not operate in isolation but intersect synergistically, reflecting and extending the key concepts of the patient journey and connected care. Through this proposed conceptual lens, it is possible to see how integrated digital solutions can transform health care, making it more responsive to individual needs, anticipating health problems before they occur, and maintaining a high level of overall well-being through constant and personalized monitoring.
This approach not only improves the effectiveness of health care but also promotes healthier, independent aging, an aspect of growing importance in a society that sees the average age of the population steadily increasing.
Brief description of the activities and of the intermediate results
The systematic review of emerging smart healthcare technologies has been completed, providing the foundation for subsequent analyses. The review examined telemedicine, remote monitoring, AI-driven diagnostics, and digital therapeutics, assessing their potential to enhance patient engagement, improve caregiver support, and facilitate personalized healthcare interventions. The findings highlight key trends, technological gaps, and opportunities for integration into healthcare pathways.
Main policy, industrial and scientific implications
The results of the review were presented and discussed in two stakeholder meetings, focusing on methodologies for stakeholder engagement in digital healthcare innovation. The discussions explored strategies for integrating digital solutions into patient care, emphasizing their potential for risk-based patient segmentation and personalized prevention.
Brief description of the activities and of the intermediate results
Building on the insights from the systematic review, preliminary qualitative interviews with two patients, two caregivers, and one healthcare professionals were conducted. These interviews aimed to map existing patient journeys by documenting experiences, identifying pain points, and understanding gaps in care coordination. The qualitative data collected provides valuable insights into real-world challenges, informing the next phase of patient journey analysis.
Main policy, industrial and scientific implications
Not applicable
Brief description of the activities and of the intermediate results
A preliminary patient journey mapping framework has been established, categorizing different patient pathways based on their risk profiles, healthcare interactions, and support systems. This framework will serve as a reference for designing targeted interventions, optimizing digital healthcare solutions, and informing policy discussions on personalized prevention strategies.
Main policy, industrial and scientific implications
Non applicable
A preliminary patient journey mapping framework has been established