dc.contributor.author | Yan, Melissa | |
dc.contributor.author | Høvik, Lise Husby | |
dc.contributor.author | Pedersen, André | |
dc.contributor.author | Gustad, Lise Tuset | |
dc.contributor.author | Nytrø, Øystein | |
dc.date.accessioned | 2022-02-17T16:24:33Z | |
dc.date.available | 2022-02-17T16:24:33Z | |
dc.date.created | 2021-11-10T09:28:33Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-1-7281-6215-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/2979827 | |
dc.description.abstract | Adverse event (AE) reports contain notes detailing procedural and guideline deviations, and unwanted incidents that can bring harm to patients. Available datasets mainly focus on vigilance or post-market surveillance of adverse drug reactions or medical device failures. The lack of clinical-related AE datasets makes it challenging to study healthcare-related AEs. AEs affect 10% of hospitalized patients, and almost half are preventable. Having an AE dataset can assist in identifying possible patient safety interventions and performing quality surveillance to lower AE rates. The free-text notes can provide insight into the cause of incidents and lead to better patient care. The objective of this study is to introduce a Norwegian AE dataset and present preliminary processing and analysis for sepsis-related events, specifically peripheral intravenous catheter-related bloodstream infections. Therefore, the methods focus on performing a domain analysis to prepare and better understand the data through screening, generating synthetic free-text notes, and annotating notes. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2021 IEEE International Conference on Bioinformatics and Biomedicine | |
dc.title | Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.identifier.cristin | 1953028 | |
cristin.ispublished | false | |
cristin.fulltext | postprint | |