Development of sepsis diagnosis system

Sepsis arises when the body’s response to an infection damages its own tissues and organs. It can lead to shock, multiple organ failures and death, especially if it is not recognized early and treated promptly. As the symptoms for sepsis are unspecific and similar to other conditions, it remains challenging for the physicians to identify the sepsis patients, especially at an early stage. As time to diagnosis and initiation of adequate antimicrobial therapy are critical parameters for the outcome of a septic patient, there is an urgent need for new diagnostic approaches for sepsis diagnosis.

Current biomarkers used in sepsis diagnostics cannot accurately identify patients with sepsis. Besides, since sepsis gives rise to a complex host immune response, it appears unlikely that a single biomarker adequately can describe and stratify the sepsis syndrome.

The aim of this project is to develop an accurate and transparent sepsis diagnosis support system, for early and accurate identification of patients with bacterial sepsis. To achieve this, the proposed project will utilize and develop data mining techniques that enable reliable and transparent support for clinical decision-making. Due to the complexity of sepsis diagnostics, it is imperative to include healthcare personnel in the data analysis process. Therefore, this project also focuses on methods for explaining and visualizing results from the data mining process, aiming to increase the interpretability and transparency of the sepsis diagnosis support system. Through empirical studies with expert analysts, we will evaluate the information and interaction needs of healthcare personnel in order for them to make efficient and confident decisions. From the results obtained, we will identify guidelines for the design of a sepsis diagnosis support system.

The proposed project is performed in close co-production between University of Skövde (HS), TATAA Biocenter AB, Unilabs AB, QIAGEN AB, bioMérieux Sweden AB and the Infection Department at Skaraborg Hospital (SkaS).


Diana Karlsson och Anna-Karin Pernestig

Logotyp Biomérieux

                 Logotyp Qiagen

Unilabs logotyp

Tataabiocenter logotyp

Skaraborgs sjukhus logotyp


Projet leader

Researchers related to the current project

Tove Helldin
Associate Senior Lecturer in Informatics
School of Informatics, University of Skövde
0500-448 383

The project in short

Full name of project:
Development of sepsis diagnosis system

2016-10-01 – 2019-09-31

Financed by:
KK Foundation

Collaborating partners/Partnership:
TATAA Biocenter AB, Unilabs AB, QIAGEN AB, bioMérieux Sweden AB, and the Infection Department at Skaraborg Hospital (SkaS).