Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Clinical coding is critical for hospital reimbursement, quality assessment, and health care planning. In Scandinavia, however, coding is often done by junior doctors or medical secretaries, leading to high rates of coding errors. Artificial intelligence (AI) tools, particularly semiautomatic computer-assisted coding tools, have the potential to reduce the excessive burden of administrative and clinical documentation. To date, much of what we know regarding these tools comes from lab-based evaluations, which often fail to account for real-world complexity and variability in clinical text.

Authors

  • Taridzo Chomutare
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Therese Olsen Svenning
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Miguel Ángel Tejedor Hernández
    Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.
  • Phuong Dinh Ngo
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Andrius Budrionis
    Norwegian Centre for Integrated Care and Telemedicine University Hospital of North Norway, Tromsø, Norway. Electronic address: Andrius.Budrionis@telemed.no.
  • Kaisa Markljung
    Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway.
  • Lill Irene Hind
    Department of Clinic for Surgery, Oncology and Women Health, University Hospital of North Norway, Tromsø, Norway.
  • Torbjørn Torsvik
    Department of Health Data Analytics, Norwegian Centre for E-Health Research, Tromsø, Norway.
  • Karl Øyvind Mikalsen
    Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.
  • Aleksandar Babic
    Healthcare Programme, Group Research and Development, DNV, Oslo, Norway.
  • Hercules Dalianis
    Department of Computer and Systems Sciences, (DSV), Stockholm University, Sweden.