{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T01:01:19Z","timestamp":1789434079756,"version":"build-2803163510"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685922","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T00:00:00Z","timestamp":1745452800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,24]]},"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.3233\/shti250160","type":"book-chapter","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T09:29:12Z","timestamp":1745486952000},"source":"Crossref","is-referenced-by-count":1,"title":["Developing a User-Centric System for Hospital-Onset Bacteremia Risk Assessment and Visualization: An Integrated Requirements Analysis Approach"],"prefix":"10.3233","author":[{"given":"Anna Thalea","family":"Hoogestraat","sequence":"first","affiliation":[{"name":"Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universit\u00e4t Oldenburg, Oldenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tadea","family":"Schmitz","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Voigt","sequence":"additional","affiliation":[{"name":"Goethe University Frankfurt, University Medicine, Institute of Medical Informatics (IMI), Frankfurt am Main, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom","family":"Baumgartl","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascal","family":"Biermann","sequence":"additional","affiliation":[{"name":"Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universit\u00e4t Oldenburg, Oldenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"RISK Principe Study Group","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatiana","family":"von Landesberger","sequence":"additional","affiliation":[{"name":"Visualization and Visual Analytics, University of Cologne, K\u00f6ln, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antje","family":"Wulff","sequence":"additional","affiliation":[{"name":"Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universit\u00e4t Oldenburg, Oldenburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","dHealth 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T09:29:13Z","timestamp":1745486953000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,24]]},"ISBN":["9781643685922"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250160","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,24]]}}}