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
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
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
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
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
Melissa Y.,
Lise Tuset,
Lise Husby,
Øystein
:
Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events
Melissa Y.,
Lise Tuset,
Lise Husby,
Øystein
:
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
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
Victoria,
Roman A,
Thomas Brox,
Carolyn,
Øystein,
Bennett
et al.:
Attitudes of Mental Health Service Users Toward Storage and Use of Electronic Health Records
Thomas Brox,
Laura,
Øystein,
Ashley Elizabeth,
Gunn Elisabeth
:
Using neural networks to support high-quality evidence mapping
Melissa,
Lise Husby,
Lise Tuset,
Øystein
:
Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology
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
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
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
Taraka Rama,
Pål Haugar,
Øystein,
Lilja
:
Iterative development of family history annotation guidelines using a
synthetic corpus of clinical text
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?
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
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