Gerontechnology and Digital Health Innovations for Aging
Summary
Rapid demographic ageing across the globe presents multifaceted challenges for healthcare delivery and independent living. Gerontechnology merges insights from gerontology and engineering to develop solutions that enhance the health, autonomy and quality of life of older adults. Digital health innovations encompass sensor networks, wearable devices, telehealth platforms, assistive robotics and AI-driven analytics to enable real-time monitoring, early detection of functional decline and personalised interventions. These technologies strive to preserve dignity and self-determination through user-centred design, ethical frameworks and inclusive data governance. Practical applications range from smart home fall-detection systems to mobile apps for medication adherence and cognitive training. Interdisciplinary collaborations among clinicians, social scientists, engineers and end users are addressing equity of access, cultural adaptation and algorithmic bias, underlining the global significance of cost-effective, scalable and responsible tech-enabled care models.
Research from Nature Portfolio
Recent studies have highlighted the risk of paternalistic AI in aged care, demonstrating how implicit age biases become embedded within algorithms through unexamined design assumptions and training data. This work introduces the concept of technological paternalism, emphasising the tension between protective oversight and respect for older adults’ autonomy. It critiques the widespread justification for imposing AI systems on this population without adequate engagement or consent, and calls for more transparent, inclusive design practices that actively counter ageism and support self-determination.
Gerontechnology and Digital Health Innovations for Aging publication trend
The graph below shows the total number of articles in gerontechnology and digital health innovations for aging across all publications each year (not limited to Nature Index journals).
Technical terms
Gerontechnology: Interdisciplinary field combining gerontology and technology to design products and services supporting healthy and independent ageing.
Digital health: Application of information and communication technologies—including mobile apps, sensors and telemedicine—to monitor, prevent and manage health conditions.
AI-based decision support system: Computational tool employing algorithms to analyse data and provide recommendations for clinical or care decision-making.
Datafication: Process of transforming social and behavioural phenomena into quantifiable data streams for analysis and automated processing.
Co-design: Participatory design approach that involves end users and stakeholders in the creation and refinement of technologies to ensure relevance, usability and acceptance.
References
- Paternalistic AI: the case of aged care. Humanities and Social Sciences Communications (2024).
- Making Co-Design More Responsible: Case Study on the Development of an AI-Based Decision Support System in Dementia Care. JMIR Human Factors (2024).
- Caring for data in later life – the datafication of ageing as a matter of care. Information Communication & Society (2023).
- Ageing, embodiment and datafication: Dynamics of power in digital health and care technologies. International Journal of Ageing and Later Life (2022).
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