National Prehospital Data Lab
Reference number | |
Coordinator | Högskolan i Borås - PreHospen Centrum för Prehospital Forskning |
Funding from Vinnova | SEK 3 020 000 |
Project duration | October 2021 - November 2024 |
Status | Completed |
Venture | Data and data platforms |
Call | Data lab and data factory as a national resource in 2021 |
Important results from the project
The project included activities aiming to enable increased use of prehospital data, contributing to new innovations and better follow-up of ambulance healthcare with regard to care, costs and outcomes. This included, among other things, the development of automatic transfer of journal data, validation and quality control, visualization solutions and legal documents. The first prehospital research datasets have been published in SND´s catalog and a local guide has been produced. A joint collaboration platform is in place to proceed activities and work established in the project.
Expected long term effects
The project has resulted in solutions, services and processes that contribute to increased quality, availability, use and usefulness of prehospital data. Legal assessments has been developed for national harmonization of interpretations of data and quality registers. The project has led to new collaborations and shed light on the prehospital data domain, which has resulted in follow-up projects, interest from responsible authorities at various levels as well as from developers and researchers in data science and AI. The work is now carried on by the project´s main parties.
Approach and implementation
The project has carried out activities and pilots that included both the project parties and collaboration with other actors, regions, authorities and companies. Questions concerning research data and use of data by commercial actors were found to be much more complex and difficult to pursue than those relating to national data where collaboration with Ambureg provided important access. A series of investigations and national initiatives are ongoing regarding research data and (secondary) use of health data. The project will contribute with its experiences as a case to one of these.