Published Nov 05 2019

Digital health: The new frontier of healthcare

From drones that deliver blood in Rwanda, to blockchain health records in Estonia, it's clear the role of technologies such as AI and machine learning are swiftly transforming healthcare.  

But how these systems and tools are being implemented varies greatly depending on the government, region and resources, and their success can depend on public perception.

Data privacy is a major concern for many people.

"The biggest companies in the world, they're in the business of monetising personal data."

Take, for example, the furore in Australia in 2018 over the government's introduction of the My Health Record system, in which people had to opt out if they were unwilling to allow their health information to be shared by medical professionals. 

"We've had a whole debate around My Health Record, and we had two million people who opted out," says Monash University Professor of Sociology Alan Petersen. "Why are they expressing concerns? Because they weren't consulted, and a lot of people are suspicious about the harvesting of their data.

"The biggest companies in the world, they're in the business of monetising personal data. I think people have got a lot to be concerned about if they're handing over their information, their health information, which is very private information," Professor Petersen says.

The very definition of digital health can also be problematic. As educational and developmental psychologist Dr Christine Grove points out: "One of the challenges is there's not a universal description and understanding of what digital health means. We don't have a framework, necessarily, that's come from the United Nations or the World Health Organization that clearly defines all the parameters of the space."

"Digital health" can be summed up in one line: "The use of digital tools and interventions in wellness and healthcare."

Dr Grove's research involves using digital tools to improve youth mental health and wellbeing. Her work is but one example of Monash researchers utilising digital technologies to transform medicine. Other initiatives include improving seizure prediction among those suffering from epilepsy, applications that can assess the nutritional content of a plate of food based on a photograph, and telemonitoring of people's blood sugar levels to alert doctors if medication adjustments are needed.  

Keeping it personal

For Chris Bain, Professor of Practice in Digital Health in Monash's Faculty of Information, "digital health" can be summed up in one line: "The use of digital tools and interventions in wellness and healthcare." It's not about removing doctors from healthcare decisions.

"We have to always remember that at the end of the day, successful healthcare, especially, is about helping people," Professor Bain says: "And there's no question about the value of the personal relationship in that. We still hear a lot of people talking and writing like, the machines are completely autonomous, and we're almost pre-Terminator, and they're just going to march in and say, 'You don't have a job anymore'."

"There's a fair group of people who think that doctors will become extinct," says Professor Shajahan Yasin, head of the Jeffrey Cheah School of Medicine and Health Sciences at Monash University Malaysia. "I am not in that group. I think that the role of doctors will change. You can't ever replace this conversation that you'll have with a person, with technology."

And, for all the concerns associated with digital health and data, there are undeniable positives – a point underlined by Dr Levin Kuhlmann, a senior lecturer in data science and AI. "If you have all of Australia putting in their data, and sharing it, and you derive conclusions from all of that data, then you can make conclusions that are actually useful," he says. "That's the benefit of doing it. So for me, the benefits outweigh the security risks."

"When we've succeeded in digital health is when we stop using the word 'digital'," says Professor Bain. "Where now the healthcare we provide, and the wellness care we provide, is just inherently using IT and tools like it."


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About the Authors

  • Christine grove

    Fulbright Scholar and Adjunct Senior Lecturer, School of Educational Psychology and Counselling

    Christine is an educational and developmental psychologist. Alongside clinical practice she lectures in inclusion and psychology and supervises research students within this area. Her research interests lie in engaging with the young person's perspective and experience across psychology and education.

  • Shajahan yasin

    Professor, Head of Jeffrey Cheah School of Medicine & Health Sciences

    Dr Mohamed Shajahan Bin Mohamed Yasin is Professor and Head of Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia. He is also a Director of the South East Asia Community Observatory (SEACO), which is an internationally funded project based on the highly successful Demographic and Health Surveillance Systems (DHSS) in other countries. SEACO is based in the town of Segamat in Johor, Malaysia.

  • Milind tambe

    Professor, Computer Science, Industrial and Systems Engineering

    Milind Tambe is a Professor in Computer Science and Industrial and Systems Engineering at the University of Southern California (USC). He is also the Founding Co-Director of CAIS – the USC Center for Artificial Intelligence in Society. Milind’s research focuses on advancing AI and multiagent systems research for social good.

  • Alan petersen

    Professor of Sociology, School of Social Sciences

    Professor Alan Petersen believes a lack of effective community consultation over the development and use of new technologies undermines Australia’s democratic system. The leading sociologist wants the broader population to begin to seriously consider how we want our future shaped.

  • Maxine tan

    Lecturer, School of Engineering, Monash Malaysia

    Dr Maxine is an active researcher and has made important contributions in Computer-Aided Diagnosis (CAD) for breast cancer risk prediction, ovarian cancer prognosis, breast, lung and ovarian cancer detection and classification. She is also doing research in the field of deep learning applied to lung cancer diagnosis in computed tomography (CT) scans and for histopathological images.

  • Shaun lee wen huey

    Associate Professor, School of Pharmacy

    Shaun registered as a pharmacist in 2003 after completing his pre-registration training in a hospital pharmacy. After this time, he started a PhD, investigating the various treatment options of chronic prostatits/chronic pelvic pain syndrome. Upon completion of his PhD, he joined a biotech company investigating novel methods for cancer detection before joining the teaching staff at SEGi University's twinning Master of Pharmacy programme with the University of Sunderland.

  • Levin kuhlmann

    Senior Lecturer, Data Science & AI

    Levin is a data scientist, computational neuroscientist and neural engineer. His research areas include data science, machine learning, signal processing, control theory and computational neuroscience applications to digital health, neural engineering and neuroimaging.

  • Chris bain

    Professor of Practice in Digital Health, Faculty of Information Technology

    Chris' position is the first of its kind in the faculty. He has more than 30 years' experience in the health industry, including 12 in clinical medicine. He's led numerous software development and implementation projects in the health industry and works with many faculties and Institutes across the University, as well as with a range of health industry partners, in leading the Monash efforts in Digital Health

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