Implementation of decision support in intensive care unit

Student thesis: Master Thesis and HD Thesis

  • Ellen Askholm
  • Katrine Lærke Hedemand Poulsen
4. term, Clinical Science and Technology, Master (Master Programme)
The clinical task to manage intensive care patients achieving their nutritional goals and a blood sugar within the prescribed range is complex. Protocols for nutrition- and glycemic control hardly encompass this complexity, why model-based decision support tools as an alternative have the potential to improve clinical practice. The aim was to identify which aspects of model-based decision support tools for nutrition- and glycemic control in intensive care patients are important for the preparation of tailored implementation plan in Denmark.

A mixed methods triangulation was used. The Treatment Council's Methodology Guide was used as a methodological framework for preparing a technology assessment and the Consolidated Framework for Implementation Research was used as implementation theory. Data were collected through a literature search in three databases and a questionnaire survey among clinicians in Danish intensive care units.

Ten general aspects were identified: Evidence and quality, Advantages compared to existing protocols, Possibility of adaptation to existing IT systems, Experience with the use of model-based decision support tools, User interface design, Costs for purchase and operation, Adaptation of workflows in intensive care units, Time for training and User prerequisites for handling model-based decision support tools.

The aspects can be included in a tailored implementation of a model-based decision support tool for nutrition- and glycemic control in intensive care patients in Denmark. The importance of the aspects will depend on the local context of implementation.
Publication date1 Jun 2023
Number of pages75
ID: 532430238