• Ambivalently awaiting: Norwegian general practitioners' expectations towards a cross-Institutional Electronic health record 

      Melby, Line; Andreassen, Hege Kristin; Torsvik, Torbjørn; Ellingsen, Gunnar; Severinsen, Gro-Hilde; Silsand, Line; Ekeland, Anne Granstrøm; Saadatfard, Omid; Pedersen, Rune (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11)
      A cross-institutional Electronic Health Record (EHR) where all healthcare workers can access a patient's record, is seen as an important means to improved access to information, better patient care, and increased efficiency. In Norway, the first EHR of this type (US based Epic EHR) is to be implemented in the Central Norway Regional Health Authority. General practitioners (GPs) are central actors ...
    • De-identifying Norwegian Clinical Text using Resources from Swedish and Danish 

      Lamproudis, Anastasios; Mora, Sara; Olsen Svenning, Therese; Torsvik, Torbjørn; Chomutare, Taridzo Fred; Ngo, Phuong Dinh; Dalianis, Hercules (Journal article; Tidsskriftartikkel, 2023)
      The lack of relevant annotated datasets represents one key limitation in the application of Natural Language Processing techniques in a broad number of tasks, among them Protected Health Information (PHI) identification in Norwegian clinical text. In this work, the possibility of exploiting resources from Swedish, a very closely related language, to Norwegian is explored. The Swedish dataset is ...
    • Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study 

      Giordanengo, Alain; Årsand, Eirik; Woldaregay, Ashenafi Zebene; Bradway, Meghan; Grøttland, Astrid; Hartvigsen, Gunnar; Granja, Conceição; Torsvik, Torbjørn; Hansen, Anne Helen (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-09)
      <p><i>Background - </i>Introducing self-collected health data from patients with diabetes into consultation can be beneficial for both patients and clinicians. Such an initiative can allow patients to be more proactive in their disease management and clinicians to provide more tailored medical services. Optimally, electronic health record systems (EHRs) should be able to receive self-collected health ...
    • Using a large open clinical corpus for improved ICD-10 diagnosis coding 

      Lamproudis, Anastasios; Olsen Svenning, Therese; Torsvik, Torbjørn; Chomutare, Taridzo Fred; Budrionis, Andrius; Ngo, Phuong Dinh; Vakili, Thomas; Dalianis, Hercules (Journal article; Tidsskriftartikkel, 2023)
      With the recent advances in natural language processing and deep learning, the development of tools that can assist medical coders in ICD-10 diagnosis coding and increase their efficiency in coding discharges ummaries is significantly more viable than before. To that end, one important component in the development of these models is the datasets used to train them. In this study, such datasets are ...