We live in a time of unprecedented technological innovation. From the internet to artificial intelligence (AI) and big data, major advances have transformed our world in just a few decades. We are more connected than ever and rely on tech in many different aspects of our lives – health being no exception. The term ‘digital health’ describes how we can apply digital technologies to healthcare. Professor Antoine Geissbühler, Director of the HUG Innovation Centre and Head of e-Health and Telemedicine at Geneva University Hospitals, spoke to us about where we currently stand with digital health and what the future might hold.
How resistance to change is holding back digital health
Implementing digital health has huge potential to improve healthcare: telemedicine enables us to access healthcare solutions from the comfort of our homes, mobile apps and wearables give us real-time information about our health, and AI and big data open new possibilities for automation and prediction that were unthinkable just five years ago.
Nonetheless, managing this change comes with challenges. One could easily assume that Switzerland – ranked the most innovative country in the world by the Global Innovation Index – would be one step ahead when it comes to digital health, but this is not the case. ‘In Switzerland,’ Antoine said, ‘where the density of care professionals is one of the highest globally, the case for telemedicine is harder to sell than when you’re in Mali and part of the country is at war and travelling to see a specialist is expensive and risky. I’ve deployed large telemedicine networks in hundreds of hospitals in sub-Saharan Africa, but never in Switzerland, except during the COVID-19 pandemic, when we had to shut down hospitals to non-COVID-19 patients.’ In low- and middle- income countries where patients pay for healthcare out of their own pocket, it’s appealing to avoid the cost of travelling – often long distances – to find a doctor. With digital health, they can access a doctor online at a fraction of the cost. This creates instant value to patients.
Sharing data across systems and borders
In Switzerland, by contrast, the value is not immediately clear, and hurdles stand in the way. One of these is that the healthcare system in Switzerland is fragmented. ‘We have a very distributed federalist system with 27 health ministers,’ Antoine explained, ‘which means that there’s no single overarching strategy or even policies to deploy digital health and telemedicine. This is changing now, but we’re lagging behind compared to some other European countries.’
In this vein, one of the key priorities right now for Antoine is to work out how to share data for research more widely – particularly in precision and personalised medicine: ‘We have this big initiative called the Swiss Personalized Health Network where we’ve significantly invested in making data from university hospitals and other stakeholders shareable – as well as FAIR (findable, accessible, interoperable and reusable). We’ve made progress and people are starting to recognise that, as we move to precision medicine, we need to gather data from much wider populations – at a national and European level – rather than being restricted to one million people at a cantonal level. This sample size is too small when you’re dealing with precision medicine.’
When we asked Antoine if the aim is to develop a centralised system, he shook his head. ‘We cannot talk about centralised systems in Switzerland – they have to be federated in some way. Rather, the aim is for different systems to talk to each other in as normalised a way as possible. And that’s what we’re trying to achieve.’