- Electronic Health Records Systems
- Biomedical Text Mining and Ontologies
- Healthcare Systems and Technology
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Clinical practice guidelines implementation
- Topic Modeling
- Business Process Modeling and Analysis
- Workplace Health and Well-being
- Digital Mental Health Interventions
- Occupational Health and Safety Research
- Usability and User Interface Design
- Access Control and Trust
- Artificial Intelligence in Healthcare
- Sepsis Diagnosis and Treatment
- Service-Oriented Architecture and Web Services
- Speech and dialogue systems
- Healthcare Technology and Patient Monitoring
- COVID-19 diagnosis using AI
- Software Engineering Techniques and Practices
- Nursing Diagnosis and Documentation
- Job Satisfaction and Organizational Behavior
- Ethics in Clinical Research
- Health Policy Implementation Science
- Health Literacy and Information Accessibility
Norwegian University of Science and Technology
2014-2024
UiT The Arctic University of Norway
2024
St Olav's University Hospital
2024
Center for Child and Adolescent Mental Health, Eastern and Southern Norway
2022
Norwegian Computing Center
2020
SINTEF
1996-2001
This study examined the contributions of organizational level norms about work requirements and social relations, work-family conflict, to job stress subjective health symptoms, controlling for Karasek's demand-control-support model psychosocial environment, in a sample 1,346 employees from 56 firms Norwegian food beverage industry. Hierarchical linear modeling analyses showed that governing performance work-to-family family-to-work explained significant amounts variance stress. The...
Empirical research on stress intervention in organizations, and experience from organizational change programmes general, indicates that obtaining intended is often more difficult than it had been conceived to be at the outset. In order facilitate accomplishment of prevention effective change, this paper examines importance social cognitive processes influencing implementation any intervention. It states if managed skilfully, important (1) create a climate learning failure, (2) provide...
There is reason to believe that many health and stress interventions fail due inattention the effects of intervention implementation processes, but evaluations these processes are found only rarely in literature. The objective present study was explore issue obstacles may occur when introduced work organizations. conducted as a process evaluation seven different individual organizational interventions. Interviews were 22 post offices, 12 units (such care homes local administrative units)...
Medical histories of patients can predict a patient’s immediate future. While most studies propose to survival from vital signs and hospital tests within one episode care, we carried out selective feature engineering longitudinal medical records in this study develop dataset with derived features. We thereafter trained multiple machine learning models for the binary prediction whether an care will culminate death among suspected bloodstream infections. The classifier performance is evaluated...
This study aimed to investigate the predictive capabilities of historical patient records predict adverse outcomes such as mortality, readmission, and prolonged length stay (PLOS).
Abstract Background Free text is helpful for entering information into electronic health records, but reusing it a challenge. The need language technology processing Finnish and Swedish healthcare therefore evident; however, are linguistically very dissimilar. In this paper we present comparison of characteristics in free-text nursing narratives from intensive care. This creates framework characterising comparing clinical lays the groundwork developing technologies. Methods Our material...
The translational research community, in general, and the Clinical Translational Science Awards (CTSA) particular, share vision of repurposing EHRs for that will improve quality clinical practice. Many members these communities are also aware electronic health records (EHRs) suffer limitations data becoming poorly structured, biased, unusable out original context. This creates obstacles to continuity care, utility, improvement, research. Analogous sharing objective other areas natural...
Access control is a key feature of healthcare systems. Up until recently most information systems have been local to facility and accessible only clinicians. Currently there move towards making health more patients. One example the Personally Controlled Health Record (PCHR) where patient in charge deciding who gets access information. In PCHR administrator control. While it certainly possible create roles representing people patients would want share with, like primary physician, also...
Abstract Background Nearly half of all mental health disorders develop prior to the age 15. Early assessments, diagnosis, and treatment are critical shortening single episodes care, reducing possible comorbidity long-term disability. In Norway, approximately 20% children adolescents experiencing problems. To address this, officials in Norway have called for integration innovative approaches. A clinical decision support system (CDSS) is an innovative, computer-based program that provides...
Mental health disorders often develop during childhood and adolescence, causing long term debilitating impacts at individual societal levels. Local, early, precise assessment evidence-based treatment are key to achieve positive mental outcomes avoid long-term care. Technological advancements, such as computerized Clinical Decision Support Systems (CDSSs), can support practitioners in providing While previous studies have found CDSS implementation helps improve aspects of medical care,...
Abstract Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports paediatric CT examinations according their description abnormal findings. Methods 13.506 from CT-scans children, 1000 scan adults and X-ray examination classified as positive or negative by radiologist, the presence Inter-rater reliability was evaluated comparison with clinician’s classifications 500 reports. Test–retest radiologist performed on same A...
We present a framework for characterising hospital scenarios involving the patient chart. The paper-based chart is regarded as simple, efficient, and handy mobile use by patient-care teams. However, available in only one physical place at time, it needs to be manually synchronised with electronic healthcare record (EHR). presented this paper has been developed non-participatory, observational studies performed University Hospital of Trondheim, conducted part MOBEL (MOBile ELectronic chart)...
The Electronic Health Record system BUPdata served Norwegian Child and Adolescent Mental Services (CAMHS) for over 35 years is still an important source of information understanding clinical practice. Secondary usage data enables learning service quality improvement. We present some insights from explorative analysis interpreting the records patients referred hyperkinetic disorders. major challenges were preparation, pre-analysis, imputation, validation. summarize main characteristics, spot...
Abstract Bloodstream infections (BSIs) represent a critical public health concern, primarily due to their rapid progression and severe implications such as sepsis septic shock. This study introduces an innovative Explanable Artificial Intelligence (XAI) framework, leveraging historical electronic records (EHRs) enhance BSI prediction. Unlike traditional models that rely heavily on real-time clinical data, our XAI-based approach utilizes comprehensive dataset incorporating demographic...
Despite the significant health impacts of adverse events associated with drug-drug interactions, no standard models exist for managing and sharing evidence describing potential interactions between medications. Minimal information have been used in other communities to establish community consensus around simple capable communicating useful information. This paper reports on a new minimal model interactions. A task force Semantic Web Health Care Life Sciences Community Group World-Wide...