Bilde av Nytrø, Øystein
Bilde av Nytrø, Øystein
Institutt for informatikk oystein.nytro@uit.no +47 91897606 Bodø

Øystein Nytrø



  • Dipendra, Øystein, Bennett L., Carolyn Elizabeth, Kaban, Line et al.:
    Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review
    BMC Medical Informatics and Decision Making 2025 DOI / ARKIV
  • Dipendra, Norbertas, Bennett L., Thomas Brox, Øystein :
    Data-Driven Demo Application for Adolescent Mental Health Screening with Decision Support
    Lecture Notes in Computer Science (LNCS) 2025 DOI / ARKIV
  • Rajeev, Lise Tuset, Jan Egil, Birgitta, Jan Kristian, Øystein :
    Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
    PLOS Digital Health 2024 DOI / ARKIV
  • Kaban, Frida Sofie, Øystein, Carolyn Elizabeth, Thomas, Roman Alexandriovich et al.:
    Challenges in Interpreting Norwegian Child and Adolescent Mental Health Records
    Studies in Health Technology and Informatics 2024 DOI / ARKIV
  • Rajeev, Lise Tuset, Jan Egil, Birgitta, Jan Kristian, Øystein :
    In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records
    JAMIA Open 2024 DOI / ARKIV
  • Kaban, Øystein, Bennett L., Odd Sverre, Thomas Brox, Roman Alexandriovich et al.:
    A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services
    International Journal of Medical Informatics 2024 DOI / ARKIV
  • Rajeev, Lise Tuset, Jan Egil, Jan Kristian, Øystein :
    Predicting In-Hospital Death from Derived EHR Trajectory Features
    2024 DOI / ARKIV
  • Dipendra, Kaban, Odd Sverre, Carolyn Elizabeth, Bennett L, Roman Alexandriovich et al.:
    Visualizing Patient Trajectories and Disorder Co-occurrences in Child and Adolescent Mental Health
    2024 DOI / ARKIV
  • Roman Alexandriovich, Line Mærvoll, Carolyn Elizabeth, Bennett, Odd Sverre, Øystein et al.:
    Patients and family attitudes about clinical and research sharing of electronic clinical data
    Nordic Journal of Psychiatry 2024 DOI / ARKIV
  • Kaban, Dipendra, Odd Sverre, Thomas Brox, Bennett, Roman Alexandriovich et al.:
    Ability of clinical data to predict readmission in Child and Adolescent Mental Health Services
    PeerJ Computer Science 2024 DOI / ARKIV
  • Melissa Y., Lise Tuset, Lise Husby, Øystein :
    Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events
    Semantic Web Journal 2023 DOI / ARKIV
  • Melissa Y., Lise Tuset, Lise Husby, Øystein :
    Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
    2023 DOI / ARKIV / FULLTEKST
  • Carolyn Elizabeth, Bennett, Øystein, Roman A, Thomas Brox, Odd Sverre et al.:
    Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development
    Frontiers in Psychiatry 2023 DOI / ARKIV
  • Kaban, Øystein, Odd Sverre, Bennett, Roman A, Victoria et al.:
    Success factors of an early EHR system for child and adolescent mental health: Lessons learned for future practice data-driven decision aids
    2022 DOI / ARKIV
  • Victoria, Roman A, Thomas Brox, Carolyn, Øystein, Bennett et al.:
    Attitudes of Mental Health Service Users Toward Storage and Use of Electronic Health Records
    Psychiatric Services 2022 DOI / ARKIV
  • Thomas Brox, Laura, Øystein, Ashley Elizabeth, Gunn Elisabeth :
    Using neural networks to support high-quality evidence mapping
    BMC Bioinformatics 2021 DOI / ARKIV / FULLTEKST
  • Melissa, Lise Husby, Lise Tuset, Øystein :
    Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology
    2021 DOI
  • Harry, Xia, Elizabeth A, Serkan, Ratnesh, Michel et al.:
    A Minimal Information Model for Potential Drug-Drug Interactions
    Frontiers in Pharmacology 2021 DOI / ARKIV
  • Melissa, Lise Husby, André, Lise Tuset, Øystein :
    Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events
    2021 DOI / ARKIV
  • Melissa, Lise Tuset, Øystein :
    Sepsis Prediction, Early Detection and Identification Using Clinical Text for Machine Learning: A Systematic Review
    JAMIA Journal of the American Medical Informatics Association 2021 DOI / ARKIV
  • Fredrik Andreas, Taraka Rama, Petter, Pål Haugar, Haldor, Tore et al.:
    Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
    BMC Medical Informatics and Decision Making 2021 DOI / ARKIV
  • Pål Haugar, Taraka, Ildikó, Øystein, Lilja :
    Synthetic data for annotation and extraction of family history information from clinical text
    Journal of Biomedical Semantics 2021 DOI / ARKIV
  • Thomas Brox, Christine Raaen, Haldor, Ingrid Andås, Øystein :
    Identifying catheter-related events through sentence classification
    International Journal of Data Mining and Bioinformatics 2020 DOI / ARKIV
  • Ildikó, Pål Haugar, Fredrik Andreas, Tore, Haldor, Øystein et al.:
    Classification of Syncope Cases in Norwegian Medical Records
    2020 DOI / FULLTEKST
  • Carolyn, Bennett, Øystein, Roman A, Odd Sverre, Thomas Brox et al.:
    Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services
    Journal of the American Academy of Child and Adolescent Psychiatry 2020 DOI / ARKIV
  • Thomas Brox, Carolyn, Øystein, Roman A, Bennett, Odd Sverre et al.:
    Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services
    Frontiers in Psychiatry 15. décembre 2020 DOI / ARKIV
  • Øystein, Anh Nguyen, Hallvard, Madeleine, Babak A. :
    Unreined Students or Not: Modes of Freedom in a Project-Based Software Engineering Course
    Proceedings (Conference on Software Engineering Education and Training) 2020 DOI / ARKIV
  • Thomas Brox, Christine Raaen, Haldor, Ingrid Andås, Øystein :
    Capturing Central Venous Catheterization Events in Health Record Texts
    2018 DOI / ARKIV
  • Taraka Rama, Pål Haugar, Øystein, Lilja :
    Iterative development of family history annotation guidelines using a synthetic corpus of clinical text
    2018 DOI / FULLTEKST
  • Soudabeh, Øystein :
    Usability methods and techniques for published clinical guidelines on the web: a systematic literature review
    Communications in Computer and Information Science (CCIS) 2017 DOI
  • Soudabeh, Dagrun, Anette, Hanne, Janne Kutschera, Øystein :
    An experimental comparison of a co-design visualizing personal drug information and patient information leaflets: Usability aspects
    Studies in Health Technology and Informatics 2017 DOI
  • Roman A, Thomas, Øystein, Bennett, Andre, Silvana et al.:
    Clinical Decision Support Systems for Child Neuropsychiatric Disorders: The Time Has Come?
    Annals of Cognitive Science 10. avril 2017 DOI / ARKIV / FULLTEKST
  • Soudabeh, Øystein :
    Reviewing clinical guideline development tools: Features and characteristics
    BMC Medical Informatics and Decision Making 2017 DOI / ARKIV
  • Gunnar, André, Øystein, Eirik :
    Dersom Norge skal klare å møte helseutfordringene, må det utdannes flere helseinformatikere
    04. avril 2025
  • Gunnar, André, Øystein, Eirik :
    Skal vi klare å møte helseutfordringene må det utdannes flere helseinformatikere
    04. avril 2025
  • Melissa Y., Øystein :
    Capturing Signs and Events Related to Catheters in Clinical Text
    Norges teknisk-naturvitenskapelige universitet 2023
  • Thomas Brox, Øystein :
    Enabling data-driven decision support in healthcare
    Norges teknisk-naturvitenskapelige universitet 2023
  • Øystein, Melissa Yuting, Dipendra :
    Helsedataanalyse og datadrevet beslutningsstøtte med anvendelser for sepsisforebygging og BUPH
    2022
  • Victoria, Roman A, Thomas Brox, Carolyn, Øystein, Bennett et al.:
    Hidden in Plain Sight: Users of Mental Health Services Want to Participate in Research
    2021
  • Øystein, Roman A, Odd Sverre, Carolyn, Bennett, Thomas Brox et al.:
    Et bedre BUP med datadrevet kunnskapsstøtte?
    2021
  • Victoria, Roman A, Thomas Brox, Carolyn, Øystein, Bennett et al.:
    Hidden in Plain Sight: Users of Mental Health Services Want to Participate in Research
    Journal of the American Academy of Child and Adolescent Psychiatry 2021 DOI
  • Norbert, Øystein, Roman A, Odd Sverre, Bennett, Carolyn et al.:
    Individualized Digital DEcision Assist System Supporting Decision-Making in Real-Time
    2020
  • Carolyn, Roman A, Odd Sverre, Norbert, Øystein, Kaban et al.:
    Individualized Digital DEcision Assist System Supporting Decision-Making in Real-Time
    2020
  • Carolyn, Bennett, Øystein, Roman A, Odd Sverre, Thomas Brox et al.:
    Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
    BMC Medical Informatics and Decision Making 2020 DOI / ARKIV
  • Øystein, Elizabeth A :
    A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation
    World Wide Web Consortium (W3C) 2019 FULLTEKST
  • Fredrik Andreas, Taraka Rama, Petter, Pål Haugar, Haldor, Tore et al.:
    Classifying Norwegian radiology reports with deep learning
    2019
  • Stein Olav, Øystein, Thomas :
    Ja til sekundærbruk av helsedata
    2019 FULLTEKST
  • Soudabeh, Øystein :
    A Systematic Literature Review on Evaluation of Digital Tools for Authoring Evidence-based Clinical Guidelines
    2017
  • Soudabeh, Dagrun, Anette, Hanne, Janne Kutschera, Øystein :
    An Experimental Comparison of a Co-Design Visualizing Personal Drug Information and Patient Information Leaflets: Usability Aspects
    2017
  • Soudabeh, Øystein :
    Usability methods and techniques for published clinical guidelines on the web: a systematic literature review
    2017

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    Research interests

    Helseinformatikk, Beslutningsstøtte, Helseforløpsanalyse, Maskinlæring, Systemutvikling