Presentation
CANCELED - Designing Patient-Centred Digital Rehabilitation for Lung Cancer: Integrating AI, Wearables, and Public Involvement
SessionPoster Session 1
DescriptionThe integration of digital health technologies into cancer rehabilitation marks a significant advancement in delivering personalized, scalable, and patient-focused support for populations living with—and beyond—lung cancer. This presentation synthesizes recent developments in artificial intelligence (AI) and commercially available activity monitors (CAMs) to enhance recovery for lung cancer survivors, with a central emphasis on the vital role played by patient and public involvement (PPI) throughout the design and implementation phases.
Lung cancer remains among the leading causes of cancer-related morbidity and mortality globally. Survivors often endure challenges such as reduced physical function, fatigue, and psychological distress following treatment. Walking, especially outdoors, stands out as a preferred rehabilitation modality due to its accessibility, but patients frequently struggle to remain engaged without tailored support and feedback. AI-driven technologies and CAMs, including wearables like Fitbits and activity trackers, offer real-time motivation, facilitate self-management, and adapt rehabilitation programs to individual needs.
This study involved 16 stakeholders across the spectrum: lung cancer patients (both CAM users and non-users), rehabilitation clinicians, and AI experts, all engaged using a qualitative, PPI-informed design. Key findings included:
• The motivational benefits of real-time feedback, promoting adherence to activity guidelines and improving functional outcomes.
• Barriers to CAM adoption due to device complexity and digital exclusion, referencing the need for accessible, user-friendly tools.
• Clinicians’ concerns regarding workflow disruption and the interpretability of AI outputs, which must be addressed for successful integration into care pathways.
• AI experts’ focus on data access, transparency of models, and intellectual property issues, underlining the importance of ethical clinical use.
Patient and public engagement was crucial, influencing ethical, technical, and clinical criteria: prioritizing interpretable AI algorithms, supporting equitable access to monitoring devices, and guiding the development of rehabilitation pathways centered around safe walking environments. The presentation underscores that digital health interventions must be co-produced with patients, clinicians, and technologists from the outset to guarantee relevance, usability, and acceptance while addressing barriers such as digital literacy and trust.
The importance of this topic lies in its capacity to transform cancer rehabilitation from a generalized model to one of individualized care that empowers survivors to regain autonomy, manage symptoms, and improve quality of life sustainably. The impact stretches beyond lung cancer, offering valuable lessons for any digital health innovation: responsible design centered on human factors, adaptability, ongoing stakeholder involvement, and real-world effectiveness.
Takeaway points:
• AI and CAMs can make rehabilitation meaningful and personalized, but inclusive, user-driven processes must lead technology development.
• Success depends on addressing ethical, equity, and interpretability challenges through early and sustained patient and clinician input.
• Human factors principles are foundational for the responsible deployment of digital health technologies, ensuring clinical integration and long-term benefit for diverse patient populations.
This session provides pragmatic guidance for researchers, clinicians, health technologists, and policy leaders on harnessing digital health’s disruptive potential in cancer care, advocating for a collaborative approach that is both innovative and compassionate.
Lung cancer remains among the leading causes of cancer-related morbidity and mortality globally. Survivors often endure challenges such as reduced physical function, fatigue, and psychological distress following treatment. Walking, especially outdoors, stands out as a preferred rehabilitation modality due to its accessibility, but patients frequently struggle to remain engaged without tailored support and feedback. AI-driven technologies and CAMs, including wearables like Fitbits and activity trackers, offer real-time motivation, facilitate self-management, and adapt rehabilitation programs to individual needs.
This study involved 16 stakeholders across the spectrum: lung cancer patients (both CAM users and non-users), rehabilitation clinicians, and AI experts, all engaged using a qualitative, PPI-informed design. Key findings included:
• The motivational benefits of real-time feedback, promoting adherence to activity guidelines and improving functional outcomes.
• Barriers to CAM adoption due to device complexity and digital exclusion, referencing the need for accessible, user-friendly tools.
• Clinicians’ concerns regarding workflow disruption and the interpretability of AI outputs, which must be addressed for successful integration into care pathways.
• AI experts’ focus on data access, transparency of models, and intellectual property issues, underlining the importance of ethical clinical use.
Patient and public engagement was crucial, influencing ethical, technical, and clinical criteria: prioritizing interpretable AI algorithms, supporting equitable access to monitoring devices, and guiding the development of rehabilitation pathways centered around safe walking environments. The presentation underscores that digital health interventions must be co-produced with patients, clinicians, and technologists from the outset to guarantee relevance, usability, and acceptance while addressing barriers such as digital literacy and trust.
The importance of this topic lies in its capacity to transform cancer rehabilitation from a generalized model to one of individualized care that empowers survivors to regain autonomy, manage symptoms, and improve quality of life sustainably. The impact stretches beyond lung cancer, offering valuable lessons for any digital health innovation: responsible design centered on human factors, adaptability, ongoing stakeholder involvement, and real-world effectiveness.
Takeaway points:
• AI and CAMs can make rehabilitation meaningful and personalized, but inclusive, user-driven processes must lead technology development.
• Success depends on addressing ethical, equity, and interpretability challenges through early and sustained patient and clinician input.
• Human factors principles are foundational for the responsible deployment of digital health technologies, ensuring clinical integration and long-term benefit for diverse patient populations.
This session provides pragmatic guidance for researchers, clinicians, health technologists, and policy leaders on harnessing digital health’s disruptive potential in cancer care, advocating for a collaborative approach that is both innovative and compassionate.
Event Type
Poster Presentation
TimeMonday, March 234:45pm - 6:15pm EDT
LocationRhinelander Gallery
Digital Health