Øystein Nytrø

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Associate professor

Norwegian University of Science and Technology

Norway

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About

Øystein Nytrø is an Associate Professor at the Norwegian University of Science and Technology, Norway. His research areas focus on the secondary use of health records, explainable artificial intelligence, and clinical decision support systems, particularly in the context of child and adolescent mental health services. He has contributed to numerous studies examining predictive algorithms for health outcomes such as readmission and in-hospital mortality, as well as the enhancement of electronic health record data through ontological frameworks.

Recent Grants

Grant: Close

Data-driven decision aids for Child and Adolescent Mental health in the Health Platform

Open Date: 2022-10-01

Close Date: 2025-09-01

Grant: Close

CoSeM - Computational Sepsis Mining and Modelling

Open Date: 2019-01-01

Close Date: 2024-09-01

Grant: Close

Peripheral Intravenous Catheters (PIVC) and blood stream infections (BSI)- Improving knowledge and quality of care

Open Date: 2018-01-01

Close Date:

Grant: Close

IDDEAS

Open Date: 2017-01-01

Close Date: 2023-12-31

Grant: Close

Keeping patients out of hospital by improving patient trajectories in primary care - methodological development and effect

Open Date: 2012-01-01

Close Date: 2016-12-31

Øystein Nytrø

Research Interests

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About

Recent Grants

Articles (19)

Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review

Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records

Ability of clinical data to predict readmission in Child and Adolescent Mental Health Services

In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records

A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services

Economic evidence of clinical decision support systems in mental health: A systematic literature review

Patients and family attitudes about clinical and research sharing of electronic clinical data

Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events

Improving the Quality and Utility of Electronic Health Record Data through Ontologies

Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events

Success Factors of an Early EHR System for Child and Adolescent Mental Health: Lessons Learned for Future Practice Data-Driven Decision Aids.

Attitudes of Mental Health Service Users Toward Storage and Use of Electronic Health Records.

Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review

Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children

Synthetic data for annotation and extraction of family history information from clinical text

Using neural networks to support high-quality evidence mapping

Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services

A Minimal Information Model for Potential Drug-Drug Interactions

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents

Collaborators (11)

Taraka Kasicheyanula

Juan Banda

William Duncan

Stefan Schulz

Selja Seppälä

Jodi Schneider

Fredrik A. Dahl

Serkan Ayvaz

Jihad Obeid

Xia Jing

Lise T. Gustad

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