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Developing a User-Centric System for Hospital-Onset Bacteremia Risk Assessment and Visualization: An Integrated
Anna Thalea Hoogestraat1, Tadea Schmitz2, Alexander Voigt3
1Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
This study outlines requirements for a digital tool to assess hospital-onset bacteremia (HOB) risk. The user-centric application will aid clinicians in identifying at-risk patients for better patient outcomes.
Area of Science:
- Medical Informatics
- Clinical Decision Support Systems
- Infectious Disease Epidemiology
Background:
- Hospital-onset bacteremia (HOB) is a frequent healthcare-associated infection.
- HOB significantly increases patient morbidity and mortality within hospitals.
- Data-driven decision support tools can aid in HOB risk assessment.
Purpose of the Study:
- To define clinician needs for a digital HOB risk assessment application.
- To develop an interdisciplinary approach for requirement gathering.
- To incorporate user feedback from the initial stages of development.
Main Methods:
- Utilized interviews and questionnaires to gather non-functional and functional requirements.
- Focused on requirements for data management, analysis (backend), and visualization (frontend).
- Involved thirteen healthcare professionals from eight German university hospitals.
Main Results:
- Identified key requirements for both backend and frontend components.
- Requirements cover data collection, risk prediction, data input/export, and user interface design.
- Requirements were classified into four distinct groups.
Conclusions:
- Established a foundational set of requirements for a user-centric HOB risk assessment tool.
- The identified requirements support the development of interactive visualizations.
- This work paves the way for an effective digital decision-support system for HOB.
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