19 November
20 November
21 November
HealthTech and data driven innovation – the solution to our future challenges in healthcare?

Details will follow


Setting the frame – data-driven innovation in healthcare
To help guide ethical development and governance of new technologies and Big Data in healthcare, we have in recent years evolved a plethora of governance and ethical frameworks developed by civil society, government and the private sector. This plethora is a part of a response to the rapid development of data-driven innovation and technology coupled with a general lack of consensus about how we, as a society, want to unfold the advantages of these new technologies and Big Data. How should we act to ensure the best conditions for data-driven innovation in healthcare?  

What’s it all about and what is the need? An example from Denmark - The “CROSS-TRACKS” project
In Denmark we have collected and collect a wealth of patient data that can be used for a variety of purposes in health innovation. Use of such data must respect several regulations, national as well as the recently adopted GDPR - EU's General Data Protection Regulation. Several of the Danish regions and municipalities are increasingly engaging in using data sets for internal purposes such as incremental innovation and monitoring of performance, but also for innovation projects together with the private sector. One example is from the Central Denmark Region (Region Midtjylland). Here the regional hospital (Hospitalsenheden Horsens) together with four municipalities (Hedensted, Odder, Skanderborg og Horsens) has initiated a cross-sector collaborative research project. The goal of the project is to develop a common tool by using machine learning, which can help select the most appropriate interventions based on the citizens' and patient's risk profile looking at a large amount of health data in order to prevent for example an acute heart attack. With the use of AI and health data the computer can calculate with 90 percent accuracy who will be re-admitted to the hospital within the next 100 days. The tool can be used by both GPs, municipalities and the hospitals. The project illustrates some of the practical benefits of artificial intelligence. However, is it possible to unfold and scale the advantages of this project and what are the thoughts behind the project when it comes to using patient data and a new HealthTech solution?

What can we learn from Finland – The IHAN Project
Starting today, Finland leads the international conversation on the development of the ground rules for a fair and human-centered data economy. Accordingly, The Finnish Innovation Fund SITRA has initiated the IHAN-project – named in the analogy to the international baking account number IBAN. SITRA is currently building the framework for a fair and functioning post GDPR data economy. The main objectives are to test and create a common concept for data sharing and to set up European-level rules and guidelines for a human-driven use of data. The fair use of data is fair for all players and is based on trust. People get control of their personal data and can consent to its use. Businesses can complement their internal data with new external data to fuel their product development and benefit from unique opportunities for new services creation. Society benefit from these innovations through economic growth. In addition, a new ecosystem collecting data from different sources creates services that improve our daily lives and increase our well-being 

What are the obstacles? The user perspective, when building human-centric technologies using data-driven innovation (Talk- & Do-shop):
You can’t replace the human relation with technology or deduct a person to a number in a spreadsheet. The human relation and patient voice are important factors and can be an obstacle if not acknowledged. Can Tech providers involve their users even more, when developing new products? Maybe by using personal, self-collected data, machine analysis, AI and other new data sources? And should health technologies be customized to each individual user’s data and needs? Or should we stay satisfied with “on size fits all”-products? How do we move forward and find the right ethical balance when building human-centric technologies using data-driven innovation?

In the Talk & Do-shop you are invited to tip in with your ideas, experiences and recommendations when building human-centric technologies using data-driven innovation. How can we work with a healthy triangulation of human relation, data-driven innovation and new technologies? What are the obstacles to be solved and what are the opportunities from your perspective? What can - and should - we do in Denmark and perhaps internationally?

In the “Talk and Do Shop” you will be divided in to small-groups. The groups will through a game-approach debate and select five suggestions that are key elements when building human-centric technologies using of data-driven innovation. Each participant will also get the chance to vote on which suggestions they think is the most important. Wrap-up the top 3 suggestions will be presented.  

Erik Jylling
Gitte Friis Kjeldsen
Saara Malkamäki
Jacob Høy Bertelsen

How do we ensure better treatment of patients and prevention using new technologies and data-driven-innovation and what are the potentials of using HealthTech to develop our healthcare services and what are the pitfalls? 

Eskild Holm Nielsen
Anne Lykkeskov
Lars Frelle-Petersen
Peder Jest