New Zealand’s district health boards are facing a $500 million annual deficit but artificial intelligence (AI) could annually contribute more than $700 million of value and savings to the New Zealand health system by 2026.
The AI Forum of New Zealand launches their latest AI research report, AI for Health in New Zealand / Hauora i te Atamai Iahiko, in Auckland later today which provides fresh information relating to AI and health for Kiwis.
Executive director Ben Reid says AI’s contribution to the NZ health system could rise to between $1.6 to $3.6 billion by 2035.
“The health sector in New Zealand is facing challenges. These include increasing demand, rising consumer expectations, and the pressures of an ageing population. These factors are straining the health workforce, increasing costs and limiting access to care.
“AI promises to bring significant clinical, workforce and cost benefits to the health sector, as well as personalise medical care. It can help with predicting disease and injury; and mine vast quantities of literature for research insights.
“It can also assist in novel drug discovery; augment the work of human specialists through image analysis and robotic surgery; automate hospital processes; free up more time for doctor-patient interaction and provide personalised treatment.
“The good news is that hospitals and district health boards (DHBs) are
investing in data infrastructure in advance of AI. The Waitematā DHB’s leapfrog
programme is capturing more clinical data digitally and enabling better data
visualisation.
Dr Kevin Ross, chief executive of research partner Precision Driven Health,
says there are a few AI solutions used in New Zealand but not many.
“AI will increasingly outperform humans in translating the unmanageable volume and variety of data and research into practical advice for both our clinical carers and citizens,” Ross says.
“New Zealand is well positioned to lead this transformation. With high quality digital health records, innovative Kiwi companies, an admired health system and maturing data governance and ethics required to develop this capability.”
“Recent AI research by Precision Driven Health
includes an automated triage system for cardiology referrals which can predict
who should be seen first which will save clinician time and help to overcome
bias.”
Reid says there are a number of barriers that need to be overcome to enable
widespread adoption of AI in New Zealand healthcare such as a low level of
digital literacy among the healthcare workforce and inflexibility of legacy
technological systems.
There is insufficient awareness of where and how AI is
being applied in the sector. There is a need to slowly introduce clinical staff
to new workflows to avoid resistance and there are low levels of AI awareness
among health professionals.
New Zealand also has a number of self-imposed barriers including restricted
access to non-identifiable data, a lack of standardisation, and little cloud
data storage, he says.
“Developers of AI in health will need to understand the current conservative
nature of the healthcare sector.
“AI will only reach its potential with accessible, secure, interoperable
cloud-based health data and social license for its use. Solving this problem
will unleash the power of data in electronic health records for research and
development.
“Disruptive AI technologies such as mobile chatbot interfaces will change the way we access healthcare. PHOs are currently funded on a per patient enrolled basis, not a per service delivered basis.
“Meanwhile large technology companies are starting to experiment internationally with health as a service business model.”
For further information contact Make Lemonade editor-in-chief Kip Brook on 0275 030188
