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Background:
Hospital-onset bacteremia (HOB) is one of the most common hospital-acquired infections, resulting in increased in-hospital morbidity and mortality. To support clinicians in assessing patients at risk, data-driven applications can be implemented as decision-support.
Objectives:
We aim at rigorously collecting clinician’s needs in an innovative, interdisciplinary tandem approach to understand requirements for a digital, in-hospital HOB risk assessment application with interactive visualization interfaces, incorporating users from the outset.
Methods:
Interviews and questionnaires for assessing (non-)functional requirements for data management and analysis (backend) and visualization (frontend) were developed. Thirteen professionals from eight German university hospitals participated.
Results:
For front- and backend, we identified requirements concerning data collection and provision, risk prediction, data input and export, and user interface.
Conclusion:
We successfully identified requirements classified into 4 groups, building a solid base for implementation of a user-centric, digital HOB risk assessment decision-support tool with interactive visualizations.
