Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation
An automated process, using a software robot and a diagnostic classification algorithm, is a technically and medically reliable alternative for amiodarone follow-up. It may reduce manual labor, decrease the frequency of laboratory testing, and improve the detection of side effects, thereby reducing costs and enhancing patient value.
Authors
- C. Lundberg (ORCID: https://orcid.org/0000-0002-9062-9982)
- Birgitta Johansson (ORCID: https://orcid.org/0009-0004-3844-6128)
- Martin Adiels (ORCID: https://orcid.org/0000-0002-3667-589X)
- Nikolaos Papachrysos (ORCID: https://orcid.org/0000-0002-2372-2554)
- Helena Filipsson Nyström (ORCID: https://orcid.org/0000-0002-4670-3401)
- Martin Lindgren (ORCID: https://orcid.org/0000-0001-8567-0422)
- Annika Rosengren (ORCID: https://orcid.org/0000-0002-5409-6605)
- Jonas Landahl
- Karin Tammelin (ORCID: https://orcid.org/0000-0002-4792-2219)
- Helén Sjöland (ORCID: https://orcid.org/0000-0003-1013-542X)
- Erik Aerts
Institutions
- Sahlgrenska University Hospital (SE)
- Wallenberg Wood Science Center (SE)
- Chalmers University of Technology (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-12-27
- DOI
- https://doi.org/10.2196/65473
- Primary Topic
- Cardiac electrophysiology and arrhythmias
- Type
- article
- Field-Weighted Citation Impact
- 0.00