AI and co-design: Making healthcare tech accessible for older New Zealanders

Professor Matthew Parsons
01st May 2025
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A significant issue facing our healthcare system today is the rapidly growing number of older people requiring healthcare. Between 2000 and 2050, New Zealand is expected to see a doubling of people aged over 65 and a fourfold increase in those over 75[1]. Currently, nearly 70% of hospital patients in medical wards are aged over 75[2], placing increased pressure on healthcare services.

Bridging the technology gap

The challenge facing us is that the number of healthcare workers is not keeping pace with demand, and further, they are themselves ageing. Realistically, technology must bridge the gap between healthcare demand and supply, but past efforts have largely failed. Technology, in particular health technology, tends to be designed by younger people without truly understanding or involving the particular needs of our older people.

Why has technology struggled to meet their needs? Because, unlike younger generations, older people have not grown up immersed in technology. This is not a question of health literacy or tech capability – it’s exposure and usability. Devices like smartphones and remote controls are often overly complicated and impractical for older people, with small buttons and complex screens. Relying on connections such as Wi-Fi is often problematic – a visit from a grandchild can often result in issues as they alter the settings in some way and then leave, with granny struggling to reconnect to the internet.

Co-design in practice

Co-design is important but challenging. Although co-design is regularly undertaken with children and teenagers, older people, who arguably need it the most, are often overlooked. Effective co-design involves patiently engaging older users from the outset, presenting technology clearly, gathering their feedback, and continually refining solutions based on their input.

Successful co-design would significantly improve self-management, a fundamental aspect of modern healthcare. Many older people manage multiple long-term health conditions, and subtle changes in activity, vision, or hearing impact their wellbeing. Technology designed through careful co-design could effectively monitor these changes, predict and reduce risks like falls, and support greater independence. Practical and user-friendly technology specifically designed with older users in mind can meaningfully improve daily life.

Internationally, countries with older populations, such as Japan and the United Kingdom, have already advanced in this area. They involve older individuals in engineering and technology design programmes, collaboratively developing furniture, rooms, and healthcare systems. While New Zealand is not yet at this stage, we have the opportunity to proactively adopt these methods.

The role of AI

How does AI contribute to this? AI primarily assists by improving healthcare data quality, quickly targeting interventions, and making real-time adjustments to healthcare responses. Rather than spending weeks developing static algorithms, AI allows us to continually refine healthcare solutions, matching interventions more accurately to individual needs. Combined with thoughtful co-design, AI can deliver tailored healthcare solutions for older New Zealanders.
The bottom line is that we must act swiftly. Through effective co-design and strategic AI integration, healthcare technology can be significantly improved to serve older New Zealanders more effectively and sustainably.

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[1] Our changing population – Health New Zealand | Te Whatu Ora
[2] Verma AA, Guo Y, Kwan JL, Lapointe-Shaw L, Rawal S, Tang T, Weinerman A, Cram P, Dhalla IA, Hwang SW, Laupacis A, Mamdani MM, Shadowitz S, Upshur R, Reid RJ, Razak F. Patient characteristics, resource use and outcomes associated with general internal medicine hospital care: the General Medicine Inpatient Initiative (GEMINI) retrospective cohort study. CMAJ Open. 2017 Dec 11;5(4):E842-E849. doi: 10.9778/cmajo.20170097. Epub 2017 Dec 13. PMID: 29237706; PMCID: PMC5741428.

Professor Matthew Parsons
Digital Clinical Lead
Professor Matthew Parsons brings over 30 years of expertise in healthcare innovation and digital health to his role as Spark Health Digital Clinical Lead. With a PhD in Ageing from King’s College, London, and extensive experience as a senior clinical advisor and professor in gerontology, Matthew has been instrumental in advancing healthcare solutions for the aged population. His strategic leadership has driven numerous successful projects in community rehabilitation, funding methodologies, and digital health services, significantly impacting aged care and health service delivery. An internationally recognised expert, Matthew has published over 100 peer-reviewed articles and secured over $24 million in research funding. His visionary approach ensures Spark Health remains at the forefront of healthcare innovation, delivering exceptional digital clinical solutions to meet the evolving needs of the health industry.
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