Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.
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| Title: | Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial. |
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| Authors: | Chomutare T; Department of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Hansine Hansens vei 54, Tromsø, N-9037, Norway, 47 47680032., Svenning TO; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Hernández MÁT; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Ngo PD; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Budrionis A; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Markljung K; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Hind LI; Department of Clinic for Surgery, Oncology and Women Health, University Hospital of North Norway, Tromsø, Norway., Torsvik T; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway., Mikalsen KØ; Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway., Babic A; Group Research and Development, DNV (Norway), Sandvika, Norway., Dalianis H; Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway.; Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden. |
| Source: | Journal of medical Internet research [J Med Internet Res] 2025 Jul 03; Vol. 27, pp. e71904. Date of Electronic Publication: 2025 Jul 03. |
| Publication Type: | Journal Article; Randomized Controlled Trial |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1438-8871 |
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| DOI: | 10.2196/71904 |
