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Preventive Care Supported by Integrated Data

How can we create shared digital support systems for healthcare and social care that are flexible and capable of adapting to future changes? Where is the boundary between the individual's benefit and the benefit of healthcare and social care? Region Sörmland and Eskilstuna Municipality have chosen to explore this together with researchers at the Center for Welfare Change.

This is what we will do

In our work, we have identified three key areas:

  1. It is essential to build new arenas for sustainable collaboration between different actors to advance preventive care efforts supported by data. This requires new forms of cooperation where shared learning and development are central.

  2. The digital data to be used must be accessible, of high quality, and secure. Determining which data should be collected, shared, and who owns the data needs exploration. Lessons from previous projects in this area should be gathered. Based on this foundation, an overarching strategy for continued work can be developed.

  3. The use of data (e.g., health data) necessitates a necessary change in the working methods of healthcare and social care personnel, particularly in preventive work with various risk groups. It is also important to promote the individual's own use of data and collaborate with new actors such as insurance companies and occupational health care to maximize the impact of preventive health efforts.

Goal

  • We hope that by bringing together different collaborating partners, we can foster a greater understanding and include multiple perspectives in the development of shared, long-term solutions.
  • We anticipate that this will require new working methods and secure data collection, which can contribute to an overall improvement in healthcare and public health, taking into account the shifting needs of care.

Collaboration partners

  • Region Sörmland
  • Eskilstuna Municipality

That’s why we benefit from collecting data

Today, large amounts of data (such as health data) are collected separately by individuals, municipalities, and regions. The problem with this is the lack of integrated support to plan, measure, and track health efforts, balancing personal privacy and societal benefit. The challenge lies in jointly collecting and analyzing different types of data to identify trends, patterns, and risk factors that affect people’s health, and from there, shift care needs accordingly.

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