planned but not yet implemented. Today a couple of domain-based separated data warehouses
are used, and data relations between different areas are built, but only on a data mart level. This
leads to limited possibilities in data analysis and AI development.
Today many different countries have the same problem – services are being provided and data
is being collected, but separately and by areas with very simple loop back to steering process.
Even when the data collected by different areas is gathered to the same environment, the data
from different sources is connected on a person level and no additional relations are calculated
nor defined. In many circumstances, legal constraints prevent interconnecting person level data.
Estonia is small and dynamic enough to build data integration, analysis models, and solutions
to experiment with data warehouse environment architecture and development tools. We have
all the necessary electronic data sources for supporting this process. Furthermore, we have years
of experience in developing forward-thinking digital solutions and in simultaneously
building/updating our regulatory framework for these solutions to be implemented. Estonia,
being the near perfect testbed for spearheading new e-governance initiatives, can provide here
great value by developing models and solutions, which can later be expanded further to larger
data volumes in larger countries, Norway being one of the main considerations.
It is paramount to find committed partners, that are interested in projects of this kind as well as
who comply with ethics and the principles of data security. There are several interested groups
in the public sector, R&D institutions and private sector. The Department of Data Analysis has
been set up under the Ministry of Social Affairs, however the need for health and lifecycle data
continuously exists in other public sector institutions in the health and social domain (e.g.
Health Insurance Fund, Health Development Institute, Estonian Health Board, Social Insurance
Board, Unemployment Insurance Fund) and other public sector domains as well (e.g. Ministry
of Defense, Defense Resources Agency, Ministry of Interior, Ministry of Education and
Research etc). R&D institutions (e.g. University of Tartu and Tallinn University of Technology
and Technology Competence Centers) are interested in using humans’ lifecycle data in their
research, development and teaching processes, in cooperation with the governmental
authorities. Various lifecycle and health data interested communities (e.g. Estonian HealthTech
Cluster, Open Knowledge Estonia) are set up so that they connect individuals, research
organizations, companies and startups. In addition, in recent years international interest by
global (multi-national) companies (mainly pharmaceuticals and health technology) has grown
exponentially.
All these groups are interested in having access to person’s lifecycle data. Some of them
produce human lifecycle data, and through that expand the variety of data collected. Due to the
high level of IT coverage in Estonia, many international companies have become interested in
using health and lifecycle data in their R&D efforts. This can provide value as additional
resources to the project.
Implementing the modern methods of person’s lifecycle-based data collecting, analysis and AI
tools will lead to a longer and healthier life and reducing costs per unit in health- and social
care. Thus, supporting the goal of the welfare technologies concept – staying independent in
activities of daily living while receiving tailored support from various care services when
needed.