
About
Ankica Babic is a Professor in the Department of Information Science and Media Studies at the University of Bergen, where she conducts research and teaching in medical informatics. Her academic work bridges information science and healthcare, focusing on the development and evaluation of information systems to improve healthcare delivery and patient outcomes.
Professor Babic's research centers on Medical Informatics, with specific expertise in developing information systems for healthcare settings. Her work includes web-based systems, databases, and mobile applications designed to gather knowledge from medical data and improve information flow in healthcare systems. She has made significant contributions to areas including intelligent phonocardiography, HIV data reporting systems, mobile applications for chronic disease management, and digital twin technology for personalized healthcare. Her research is characterized by close collaboration with healthcare professionals and medical experts, ensuring practical applicability of her work.
Analysis of her recent publications reveals a strong focus on digital innovation in healthcare, particularly in the areas of digital twins for heart care, AI applications in cognitive decline diagnosis, and mobile platforms for patient self-monitoring. Her research shows an evolving trajectory from foundational work in electronic medical records and data management toward more sophisticated applications of artificial intelligence and personalized health technologies. The interdisciplinary nature of her work spans computer science, healthcare delivery, and patient-centered design.
Professor Babic has supervised numerous students and collaborated on various application development projects including Cherry (a mobile application for children with cancer), self-reporting tools for bipolar patients, safety reporting applications for postoperative care, and multiple sclerosis management applications. Her teaching portfolio includes courses on information science, data management, and artificial intelligence at both bachelor's and master's levels.
Her research group appears to focus on medical informatics with particular strength in mobile health applications, data visualization, and AI applications in cardiology and chronic disease management. The team frequently collaborates with healthcare institutions in Norway and internationally, particularly on projects related to HIV data reporting in Kenya and other low-resource settings.
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