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PreSISe-1 - Prehospital Decision Support for Identification of Risk of Sepsis

Reference number
Coordinator Lindholmen Science Park AB - PICTA Prehospital ICT Arena
Funding from Vinnova SEK 3 712 903
Project duration June 2018 - November 2021
Status Ongoing
Venture Digital health
Call 2017-04570-en

Purpose and goal

The aim is to develop, evaluate and utilize a national and open AI-based prehospital decision support system (CDSS) for identification of risk of sepsis. In addition, a long-term management model should be proposed. Including representation of data, interoperability and standards, maintenance, regulatory issues, and utilization.

Expected results and effects

Today, too few sepsis cases are identified in the prehospital setting, thus the potential to radically improve the current situation is high. An increased precision in the prehospital assessment can lead to faster treatment, reduced suffering and saves healthcare resources. In addition, PreSISe-1 will provide the basis for the long-term utilization of the CDSS, results that are generalizable to apply to other AI-projects within healthcare.

Planned approach and implementation

PreSISe-1 consists of three integrated tracks; representation of data, AI development, and visualization. In a separate 4:th track models for practical utilization and long-term data availability will be studied. Initially, existing data from completed sepsis research will be aggregated and processed to be used in the AI development process. By performing user tests in a simulated prehospital environment, the CDSS will be evaluated by means of visualization and how well it works in the clinical workflow.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 20 November 2021

Reference number 2018-01972

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