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Addressing Privacy in Passive Data Collection for Nursing Documentation

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dc.contributor.authorBahrololloomi, Farnod
dc.contributor.authorLuderschmidt, Johannes
dc.contributor.authorStaab, Sergio
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:25Z
dc.date.available2024-10-21T18:24:25Z
dc.date.issued2024
dc.description.abstractIn this work, we present a conceptual framework to determine the relevant recording time for nursing records, considering the effective detection and minimal interference with privacy. Our goal is to reduce the documentation burden, while ensuring compliance with the requirements of the General Data Protection Regulation (GDPR). We focus on data minimization and use a combination of speaker, context, and pronoun classification to accurately distinguish between nursing staff, patients, and visitors. Our work might indicate that when context and pronoun classification are used to identify patients, age classification becomes redundant. Furthermore, we address the challenges posed by non-native speakers in nursing homes, as language proficiency significantly affects the performance of language processing models. This work forms the basis for the automation of documentation processes in nursing homes.en
dc.identifier.doi10.18420/inf2024_32
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45191
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectSpeech-Based Activity Recognition
dc.subjectElectronic Health Record
dc.subjectGeneral Data Protection Regulation
dc.subjectSpeaker Identification
dc.subjectContext Analysis
dc.subjectNatural Language Processing
dc.titleAddressing Privacy in Passive Data Collection for Nursing Documentationen
dc.typeText/Conference Paper
gi.citation.endPage454
gi.citation.publisherPlaceBonn
gi.citation.startPage443
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle8th International Workshop on Annotation of useR Data for UbiquitOUs Systems

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