Blog post published on Good News from Finland, 16 March 2022:
Smart health solutions require high-quality healthcare data and strong AI, science and engineering expertise. All of which Finland has to offer, writes Juha Paakkola, Director of Health Capital Helsinki, in a blog post originally published by Good News from Finland on 16 March 2022.

Data alone isn’t enough to build successful smart health solutions.
Another exciting opportunity is Apotti. It’s a new Epic-based electronic social and healthcare record that combines data into a single, unified database. This system is now used by HUS and two of Finland’s largest cities, Helsinki and Vantaa.Finally, biobanks are a vital data source. Finnish biobanks have high coverage and easy access thanks to Finnish Biobank Cooperative(FINBB), a cooperative representing eight biobanks.Still, data alone isn’t enough to build successful smart health solutions. The users of smart health solutions are often elderly people who may have disabilities. Therefore, fully automated systems have particular value. Critical technologies for their development include wearable sensors, computer vision and AI. Combining these technologies and the ‘service design’ concept ensures a service isn’t only high-tech but also user friendly. It steers the developer to the user’s point of view and helps them plan a smooth service path from the start to the end. Aalto University and Haaga-Helia University of Applied Sciences have excellent service design knowhow and education programmes.VTT Technical Research Centre of Finland should also be mentioned as a forerunner in wearable sensor technologies.All the points above come together in my vision for smart health innovations in daily use. This requires using available technology smartly and proactively to steer healthcare services. Take as an example an elderly person with developing cardiac and balance issues. They could be automatically and wirelessly monitored for blood pressure and basic vitals without disturbing their everyday life. At the same time, computer vision could track their movement and balance.This data could then be analysed using AI and provided to healthcare professionals who can capture any alarming signs and drive correct preventative actions. In conclusion, these tools could make living at home easier and safer for, among others, ageing people and their families.Health Capital Helsinki



