Depending on whom you’re talking to, the term ‘digital health’ can arouse either hopes or fears. For some, it evokes images of robotic arms carrying out precision surgery and individually tailored treatments delivered via your smartphone.
For others, it raises fears of government surveillance, health data being sold to the highest bidder, and everyone from your employer to the police knowing when you last contracted a minor infection.
Researchers and clinicians are working to navigate the future challenges and opportunities of using information technology (IT) in the delivery of healthcare, and Flinders is at the forefront.
A recent study led by Associate Professor Niranjan Bidargaddi at the Flinders Digital Health Research Centre used smartwatches and phone apps to correlate users’ physical activities with their mental health. If a patient’s behaviour seemed unusual – for example, they sat at
home all day instead of going out, or they experienced altered sleep patterns – this
would trigger an intervention.
“They might not be Facebooking their buddies so much, or they might be sending sombre emails. If you can deduce those things and intervene in time, that’s very beneficial,” says Professor Anthony Maeder, Co-Director of the Centre and Chair in Digital Health Systems.
Niranjan Bidargaddi, BEng C.Sc, PhD, is the Associate Professor of Personal Health Informatics at College of Medicine and Public Health Flinders University jointly appointed with Country Health SA LHN. He leads the Personal Health Informatics & Digital Psychiatry lab based at Flinders Digital Health Research Centre Tonsley and SAHMRI. He has over over 10 years of diverse experience in health informatics and e-health research, development and consulting.
That person could be a doctor, a nurse, or even the patient. With increased precision in tests for imminent heart attacks, along with swifter results and the use of artificial intelligence (AI) in the interpretation of those results, Professor Chew predicts that the one-size-fits-all approach is on its way out.
“The ambulance or GP would get your test results back, and tell you, ‘We think you have a less than 1% chance of having a heart attack. Do you still want to go to hospital?’ We’ll take them to hospital if they want to go, and follow up with those who don’t. But it’s potentially safer, cheaper care,” he says.
At the base of all these applications is data. Data is essential for the AI that Professor Chew’s patients will soon depend on for a more accurate diagnosis – the machine learning that can read test results better than junior doctors, and the studies that online tools are based on.
Public trust in the use of that data has a long way to go, but Professors Maeder and Chew believe that education is the key to acceptance, and they’re confident that acceptance will
come once people see the benefits of electronic health records.
“Digital health technology is already here, and you can deduce better ways to treat subgroups of patients by observing the data on their health condition and their recovery,” says Professor Maeder. “You can also deliver interventions by IT to patients, because if the computer knows about them as a patient, then it can customise how it’s going to advise them, say, to improve their physical activity.”
It’s safe to say, the digital future of health is looking increasingly bright.
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