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Katerva is delighted to sponsor the Future Of series at LeadersIn, written by Katerva's Futurist Adi Gaskell. In this set of articles Adi addresses the Future Of Healthcare.

In his first article on the Future Of Healthcare Adi surfaces one of the biggest challenges: a seemingly deeply embedded resistance to change. Indeed, when running Innovators Anonymous, a networking initiative for innovators, the UK’s NHS Institute for Innovation and Improvement was one of my members; they were doing fantastic work, developing tools, frameworks, insights - only to find it falter during dissemination. In addition to encountering a lot of ‘not invented here’ syndrome, it seemed that the multitude of stakeholders, all with diverging interests, proved to be a major obstacle. Below a distillation of the challenges of and obstacles to innovation, as identified by Accenture’s research team. 

Adi’s second article on the Future Of Healthcare focuses on drug discovery. When it comes to tackling something like the CoronaVirus, which managed to spread around the globe in around 8 weeks, everyone wishes that the drug discovery process were less than the customary minimum of 10 years. AI and machine learning offer potential to improve on that across the stages of the discovery and development process. This presentation by AstraZeneca gives a good overview of how and where #machinelearning can make the drug discovery process more effective, faster, cheaper, as well as reduce the need for animal testing.

In his third article on the Future Of Healthcare Adi homes in on preventative medicine. While it makes complete sense, how many of you go to regular check-ups, track your sleep, monitor your cholesterol levels? While I do not believe that technology can fix everything, digitalisation certainly seems to be extremely useful in the context pf preventative medicine. During a panel discussion on the future of healthcare at Davos 2018, Rajeev Suri, CEO of Nokia pointed out that wearable devices will do more than what already existing fitness trackers do by clinically monitoring heart rate, blood pressure, and other vitals.  While saving costs might seem one obvious argument for preventative medicine, some point out that such savings might have to be offset by resulting longevity! In the video below Bernhard Marr ranks the 10 biggest healthcare-relevant technology  in terms of their readiness, impact, and accessibility.


In his final article on the Future Of Healthcare Adi revisits the topic of AI. Rightly so, its impact will be critically influenced by one aspect: trust. There are two levels, firstly in the data, secondly in the output. In his Forbes article Dennis Turpitka addresses the former, suggesting the following: (1) Use only medical datasets; (2) Review datasets to avoid errors and duplicates; (3) Make sure your data is sufficient; (4) Divide data for training and validation purposes; (5) Choose a pre-trained AI model as a starting point. 

The second is explored by Francesca Rossi in her 2019 article in which she point out that, “… such a powerful technology also raises some concerns, such as its ability to make important decisions in a way that humans would perceive as fair, to be aware and aligned to human values that are relevant to the problems being tackled, and the capability to explain its reasoning and decision-making.”

If you are interested in finding out what Bernardo Mariano, the World Health Organisation’s CIO, has to say about the digitalisation of health, listen to in the video below.

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