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Full title: Automatic selection and imputation of vital signs in emergency departments.

Project period

Start: January 2020
End: December 2022

Most acute hospital settings deploy observation protocols stratified by patient severity to ensure that deterioration is identified in due time. To achieve this, the departments utilise advanced patient monitors for tracking the state of admitted patients. These monitors are typically capable of continuously tracking and reporting vital values at a much higher rate than documented in clinical knowledge management systems.

Past research has found that most patients are monitored sparsely, and a subset of patients are monitored more than required by clinical protocols. The latter situation, which also applies to patients who are continuously monitored, are poorly represented by spot-based registrations. The former situation complicates clinical assessment and forecasting.


In the AutoDok project, the Patient Deterioration Warning System was extended with functionality for handling clinical documentation for patients who were extensively monitored, and patients who lacked monitoring during periods of their admission. Furthermore, the project wanted to explore integration with the EPJ SYD system through the Medical Device Information Collection (MDIC) platform.


  • The Emergency Department, OUH 
  • The Maersk Mc-Kinney Moller Institute, SDU


The project was funded by the Innovation Fund of the Region of Southern Denmark.

Thomas Schmidt

Thomas Schmidt

Associate Professor

University of Southern Denmark, Maersk Mc-Kinney Moeller Institute

(+45) 2423 7434

Annmarie Lassen

Professor, Chief Physician

Odense University Hospital, The Emergency Department

(+45) 6541 5048