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  • E-mailAnkica.Babic@uib.no
  • Phone+47 55 58 91 39
  • Visitor Address
    Fosswinckelsgt. 6
    Room 
    518
  • Postal Address
    Postboks 7802
    5020 Bergen

My research area is Medical Informatics and includes projects that are carried out in close cooperation with healthcare professionals and medical experts. Some of the goals of this research is to gather knowledge from medical data and improve the flow of information in healthcare systems. The information systems that are being evaluated, designed and developed in this research can be anything from web-based systems, databases or mobile applications.

Selected publications
  • Gharehbaghi, Arash; Ask, Per; Babic, Ankica. 2015. A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognition. 48: 696-708. doi: 10.1016/j.patcog.2014.08.017
  • Berntsen, Eirik; Babic, Ankica. 2014. Information System for Postmarket Surveillance of Total Joint Prostheses.
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Data mining in cancer registries: A case for design studies. International Federation for Medical and Biological Engineering Proceedings. 41: 1417-1420. doi: 10.1007/978-3-319-00846-2_351
  • Andersen, Per-Øivind Berg; Babic, Ankica. 2014. Self-reporting for bipolar patients through smartphone. International Federation for Medical and Biological Engineering Proceedings. 41: 1358-1361. doi: 10.1007/978-3-319-00846-2_336

I have taught and lectured in the following bachelor and master level courses:

  • Basic Course in Information Science (INFO100)
  • Social Science Perspectives (SV100)
  • Datahåndtering (INFO125)
  • Data Management (INFO212)
  • Research Project Design (INFOMEVI300)
  • Data Architectures for Information Retrieval and Web Intelligence (INFO323)
  • Advanced Topics in Artificial Intelligence (INFO381)
Journal articles
  • Borgund, Adrian Kristoffer; Babic, Ankica. 2019. Developing a Gamified First Aid Training Application for Children. Studies in Health Technology and Informatics. 262: 126-129. doi: 10.3233/SHTI190033
  • Gesicho, Milka Bochere; Babic, Ankica. 2019. Analysis of Usage of Indicators by Leveraging Health Data Warehouses: A Literature Review. Studies in Health Technology and Informatics. 262: 184-187. doi: 10.3233/SHTI190048
  • Gesicho, Milka Bochere; Babic, Ankica. 2019. Task-Based Approach Recommendations to Enhance Data Visualization in the Kenya National Health Data Warehouse. International Federation for Medical and Biological Engineering Proceedings. 68: 467-470. Published 2018-05-30. doi: 10.1007/978-981-10-9035-6_86
  • Gharehbaghi, Arash; Lindén, Maria; Babic, Ankica. 2019. An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network. Applied Soft Computing. 83: 1-12. doi: 10.1016/j.asoc.2019.105615
  • Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica. 2019. Forth Heart Sound Detection Using Backward Time-Growing Neural Network. International Federation for Medical and Biological Engineering Proceedings. vol 73. Springer: 341-345. doi: DOIhttps://doi.org/10.1007/978-3-030-17971-7_53
  • Gharhbaghi, Arash; Sepehri, Amir A; Babic, Ankica. 2019. An Edge Computing Method for Extracting Pathological Information from Phonocardiogram Arash. Studies in Health Technology and Informatics. 262: 364-367. doi: 10.3233/SHTI190094
  • Kloster, Mads; Babic, Ankica. 2019. Mobile VR-Application for Neck Exercises. Studies in Health Technology and Informatics. 206-209. doi: 10.3233/SHTI190054
  • Mugisha, Alice; Babic, Ankica; Wakholi, Peter; Tylleskär, Thorkild. 2019. High-fidelity prototyping for mobile electronic data collection forms through design and user evaluation. JMIR Human Factors. 6. doi: 10.2196/11852
  • Mugisha, Alice; Nankabirwa, Victoria; Tylleskär, Thorkild; Babic, Ankica. 2019. A usability design checklist for Mobile electronic data capturing forms: the validation process. BMC Medical Informatics and Decision Making. 19: 1-11. doi: 10.1186/s12911-018-0718-3
  • Olsen, Runar; Babic, Ankica. 2019. Establishing User Requirements for a Norwegian IBD Mobile Application. Studies in Health Technology and Informatics. 262: 372-375. doi: 10.3233/SHTI190096
  • Oppegaard JAKOBSEN, Martine; Babic, Ankica. 2019. Lifestyle Intervention for Young Adults with MS: A Design Study. Studies in Health Technology and Informatics. 262: 360-363. doi: 10.3233/SHTI190093
  • Ellison, Peter; Høl, Paul Johan; Babic, Ankica. 2018. An individual patient outcome tool for joint replacement patients. Studies in Health Technology and Informatics. 251: 129-132. doi: 10.3233/978-1-61499-880-8-129
  • Gesicho, Milka Bochere; Babic, Ankica. 2018. Using Innovation-Decision Model to Describe the Adoption to Utilization of HIV-Data for Decision-Making in LMICs. Studies in Health Technology and Informatics. 251: 117-120. doi: 10.3233/978-1-61499-880-8-117
  • Gharehbaghi, Arash; Babic, Ankica. 2018. Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography. Studies in Health Technology and Informatics. 247: 157-160. doi: 10.3233/978-1-61499-880-8-157
  • Gharehbaghi, Arash; Babic, Ankica; Sepehri, Amir A. 2018. Extraction of Diagnostic Information from Phonocardiographic Signal Using Time-Growing Neural Network. International Federation for Medical and Biological Engineering Proceedings. 68: 849-853. doi: 10.1007/978-981-10-9023-3_153
  • Krumsvik, Ole Andreas; Babic, Ankica; Mugisha, Alice. 2018. Design Reflection on Mobile Electronic Data Capturing Forms in African Rural Settings. International Federation for Medical and Biological Engineering Proceedings. 68: 347-350. doi: 10.1007/978-981-10-9035-6_63
  • Krumsvik, Ole Andreas; Babic, Ankica; Mugisha, Alice. 2018. Design Variations for Improved Usability of Mobile Data Capture in Rural Uganda. International Federation for Medical and Biological Engineering Proceedings. 68: 439-443. doi: 10.1007/978-981-10-9035-6_81
  • Mugisha, Alice; Krumsvik, Ole Andreas; Tylleskär, Thorkild; Babic, Ankica. 2018. Data Collectors' Design Preferences for Mobile Electronic Data Capturing Forms. Studies in Health Technology and Informatics. 251: 93-96. doi: 10.3233/978-1-61499-880-8-93
  • Ngugi, Philomena Njeri; Were, Martin C; Babic, Ankica. 2018. Facilitators and Barriers of Electronic Medical Records Systems Implementation in Low Resource Settings: A Holistic View. Studies in Health Technology and Informatics. 247: 187.
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. User Evaluation of a Multiple Sclerosis Self-Management Mobile Application. Studies in Health Technology and Informatics. 251: 233-236. doi: 10.3233/978-1-61499-880-8-233
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Multiple Sclerosis Application Design with Medical Expert Evaluation. International Federation for Medical and Biological Engineering Proceedings. 68: 457-461. doi: 10.1007/978-981-10-9035-6_84
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Assessing Information Needs for a Personal Multiple Sclerosis Application. Studies in Health Technology and Informatics. 247: 486-490. doi: 10.3233/978-1-61499-852-5-486
  • Wakholi, Peter; Babic, Ankica; Mugisha, Alice. 2018. Design Features for Usable Mobile Electronic Data Capturing Forms: The Form Developers’ Perspective. International Federation for Medical and Biological Engineering Proceedings. 68: 463-466. doi: 10.1007/978-981-10-9035-6_85
  • Babic, Ankica; Gharehbaghi, Arash; Sepehri, Amir A; Lindén, Maria. 2017. A Hybrid Machine Learning Method for Detecting Cardiac Ejection Murmurs. International Federation for Medical and Biological Engineering Proceedings. 65. doi: /10.1007/978-981-10-5122-7_197
  • Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. 2017. Critical issues in evaluating national-level health data warehouses in LMICs: Kenya case study. Studies in Health Technology and Informatics. 238: 201-204. doi: 10.3233/978-1-61499-781-8-201
  • Gharehbaghi, Arash; Lindén, Maria; Babic, Ankica. 2017. A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods. Studies in Health Technology and Informatics. 235: 43-47. doi: 10.3233/978-1-61499-753-5-43
  • Gharehbaghi, Arash; Sepehri, Amir A; Linden, Maria; Babic, Ankica. 2017. Intelligent phonocardiography for screening ventricular septal defect using time growing neural network. Studies in Health Technology and Informatics. 238: 108-111. doi: 10.3233/978-1-61499-781-8-108
  • Hucikova, Anezka; Babic, Ankica. 2017. Medical informatics idle youtube potential. Studies in Health Technology and Informatics. 238: 132-135. doi: 10.3233/978-1-61499-781-8-132
  • Krumsvik, Ole Andreas; Babic, Ankica. 2017. Designing an E-Learning Platform for Postoperative Arthroplasty Adverse Events. Studies in Health Technology and Informatics. 235: 348-352. doi: 10.3233/978-1-61499-753-5-348
  • Krumsvik, Ole Andreas; Babic, Ankica. 2017. Designing a safety reporting smartphone application to improve patient safety after total hip arthroplasty. Studies in Health Technology and Informatics. 238: 84-87. doi: 10.3233/978-1-61499-781-8-84
  • Mugisha, Alice Nandawula; Babic, Ankica; Wakholi, Peter; Nankabirwa, Victoria; Tylleskär, Thorkild. 2017. Usability in mobile electronic data collection tools: Form developers' views. Studies in Health Technology and Informatics. 238: 72-75. doi: 10.3233/978-1-61499-781-8-72
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. A healthy lifestyle intervention application. Studies in Health Technology and Informatics. 245: 240-243. doi: 10.3233/978-1-61499-830-3-240
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. Effect of social media in a mHealth application. Studies in Health Technology and Informatics. 238: 120-123. doi: 10.3233/978-1-61499-781-8-120
  • Waruhari, Philomena; Babic, Ankica; Nderu, Lawrence; Were, Martin C. 2017. A review of current patient matching techniques. Studies in Health Technology and Informatics. 238: 205-208. doi: 10.3233/978-1-61499-781-8-205
  • Åserød, Hanne; Babic, Ankica. 2017. Designing a mobile system for safety reporting of arthroplasty adverse events. International Federation for Medical and Biological Engineering Proceedings. 65: 571-574. doi: 10.1007/978-981-10-5122-7_143
  • Åserød, Hanne; Babic, Ankica. 2017. Pharmacovigilance mobile tool design in the field of arhroplasty. Studies in Health Technology and Informatics. 238: 104-107. doi: 10.3233/978-1-61499-781-8-104
  • Babic, Ankica; Hucikova, Anezka. 2016. Overcoming constraints in healthcare with cloud technology. Studies in Health Technology and Informatics. 226: 165-168. doi: 10.3233/978-1-61499-664-4-165
  • Babic, Ankica; Knudsen, Greger Siem. 2016. Identifying dyscalculia symptoms related to magnocellular reasoning using smartphones. Studies in Health Technology and Informatics. 226: 229-232. doi: 10.3233/978-1-61499-664-4-229
  • Hucíková, Anežka; Babic, Ankica. 2016. Cloud computing in healthcare: A space of opportunities and challenges. Studies in Health Technology and Informatics. 221: 122. doi: 10.3233/978-1-61499-633-0-122
  • Gharehbaghi, Arash; Ask, Per; Babic, Ankica. 2015. A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognition. 48: 696-708. doi: 10.1016/j.patcog.2014.08.017
  • Gharehbaghi, Arash; Ask, Per; Nylander, Eva; Janerot-Sjöberg, Birgitta; Ekman, Inger; Lindén, Maria; Babic, Ankica. 2015. A hybrid model for diagnosing sever aortic stenosis in asymptomatic patients using phonocardiogram. International Federation for Medical and Biological Engineering Proceedings. 51: 1006-1009. doi: 10.1007/978-3-319-19387-8_245
  • Kanza, Grace Benjamin; Babic, Ankica. 2015. Agile development for smart user interfaces to cancer registries. International Federation for Medical and Biological Engineering Proceedings. 45: 711-714. doi: 10.1007/978-3-319-11128-5_177
  • Andersen, Per-Øivind Berg; Babic, Ankica. 2014. Self-reporting for bipolar patients through smartphone. International Federation for Medical and Biological Engineering Proceedings. 41: 1358-1361. doi: 10.1007/978-3-319-00846-2_336
  • Babic, Ankica; Peterzén, Bengt; Lönn, Urban; Ahn, Henrik C. 2014. Case Based Reasoning in a web based decision support system for thoracic surgery. International Federation for Medical and Biological Engineering Proceedings. 41: 1413-1416. doi: 10.1007/978-3-319-00846-2_350
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Data mining in cancer registries: A case for design studies. International Federation for Medical and Biological Engineering Proceedings. 41: 1417-1420. doi: 10.1007/978-3-319-00846-2_351
  • Sørheim, Helen; Babic, Ankica. 2014. Digital diary for persons with psychological disorders using interaction design. International Federation for Medical and Biological Engineering Proceedings. 41: 1390-1393. doi: 10.1007/978-3-319-00846-2_344
  • Babic, Ankica; Berg Andersen, Per-Øivin. 2013. Mobile-supported life charting for bipolar patients - user requirements study. Studies in health technology and informatics. 2013;192:1111: 1111-1111.
  • Babic, Ankica; Berntsen, Eirik. 2013. Cherry: mobile application for children with cancer. Studies in health technology and informatics. 1168-1168.
Reports and theses
  • Babic, Ankica. 2011. LiU-IMT-R-0048: AssistMe System: A Web-based system for data mining in the thoracic surgery domain. Linköping University, Linköping Sweden. 50 pages.
  • Babic, Ankica. 2011. LiU-IMT-R-0047: Reading into the end points and clinical outcomes. Linköping University, Linköping Sweden. 50 pages.
Book sections
  • Babic, Ankica; Hucikova, Anezka. 2016. Cloud Technology:Empowering Healthcare Organizations. KAPITTEL. In:
    • Hofdijk, Jacob; Séroussi, Brigitte; Lovis, Christian; Ehrler, Frederic; Sieverink, Floor; Ugon, Adrien; Hercigonja-Szekeresr, Mira. 2016. Transforming Healthcare with the Internet of Things. IOS Press. 136 pages. ISBN: 978-1-61499-633-0.

More information in national current research information system (CRIStin)

Applications developed with students

Cherry: Mobile Application for Children with Cancer: 2013. With Erik Berntsen.

The Cherry project seeks to address the information needs of young cancer patients, their parents, and health care providers. It helps the patients understand the aspects of their disease and treatment, and allow them to assess and record their disease related quality of life.

Self-reporting for Bipolar Patients through Smartphone: 2013. With P. Berg Andersen.

Self-reporting of symptoms is widely used and validated in the field of psychiatry, also in the context of bipolar disorder. This paper presents work on a self-reporting system for bipolar patients using a smartphone to gather data from the patient, which is communicated to a server via a secure connection. The data is presented in a web application to a patient for his/her self-monitoring, and to medical personnel associated with the treatment of the patient. Consequently, the application is expected to be directly understandable to everyone involved in the treatment. Programming solutions will capture the essence, but will be adjusted to the electronic environment which will be validated for its correctness and user-friendliness

Designing a Safety Reporting Smartphone Application to Improve Patient Safety After Total Hip Arthroplasty. 2017. With Ole Andreas Krumsvik.

This paper presents a safety reporting smartphone application which is expected to reduce the occurrence of postoperative adverse events after total hip arthroplasty (THA). A user-centered design approach was utilized to facilitate optimal user experience. Two main implemented functionalities capture patient pain levels and well-being, the two dimensions of patient status that are intuitive and commonly checked. For these and other functionalities, mobile technology could enable timely safety reporting and collection of patient data out of a hospital setting.

Effect of Social Media in a mHealth Application: 2017. With Ole Andreas Krumsvik.

In this project, the potential of social media has been reviewed in terms of how it can promote a healthy lifestyle utilized in an app. A mHealth app for smartphones has been developed using Design Science methodology, where various features from social media have been implemented with the goal of increasing physical activity.

Multiple Sclerosis Application: 2018-2019. With Aleksander Tonheim.

Five study subjects provided information needs by suggesting functionalities and evaluating three existing MS applications. Prominent functionalities were to collect data about symptoms, physical activities, mood and goals in a form of a mobile diary. Collected data would be visually presented in a graph to support self-management and motivation.

Four study subjects were interviewed in semi-structured interviews with questions regarding the functionalities and the user experience after using the application, as well as using System Usability Scale (SUS). User feedback resulted in functionality adjustments of the high-fidelity prototype, especially in data representation of the Summary module and the way the Diary module would assess user entered data.

It is evident from the results that the application has four selected modules: Diary module, Physical activity module, Summary module, and a To-do list. Two medical experts were interviewed at two different times at the Haukeland University Hospital in Bergen, Norway, to evaluate two design iterations. The semi-structured interview consisted of two parts; one with questions on which the experts could elaborate, and one with evaluation of the prototype msHealth using System Usability Scale (SUS). Results. The results have suggested that healthcare personnel would be interested in patient data from a mobile diary, and how a patient should plan a day if suffering from symptoms. These are the two most prominent functionalities. Conclusions. Feedback from medical staff using SUS was promising. Several suggestions were given, as how to personalize the prototype to encourage the user to plan desired activities and learn how to live with the disease. All these new functionalities are being implemented to reduce stress, and include the prototype application as a decision support during a patient-physician consultation.

Best Student Paper Award for the paper “Critical Issues in Evaluating National-Level Health Data Warehouses in LMICs: Kenya Case Study” (Milka Fesicho) received from Informatics, Management and Technology in Healthcare Conference.

Best Student Paper Award for the paper “Medical Informatics Idle YouTube Potential” (Anezka Hucikova) received from Informatics, Management and Technology in Healthcare Conference.

Best Student Paper Award for the paper “Identifying Dyscalculia Symptoms Related to Magnocellular Reasoning Using Smartphones”  (Greger Siem Knudsen) received from Informatics, Management and Technology in Healthcare Conference.

Best Student Paper Award for the paper “User Evaluation of a Multiple Sclerosis Self-Management Mobile Application” (Aleksander Nygård Tonheim) received from the Informatics, Management and Technology in Healthcare Conference.

1st place winner at Digital Diary for Persons with Psychological Disorders Using Interaction Design.

Gold Medal 'For Scientific excellence and merit' at the MEDINFO World Congress of Medical Informatics, Vancouver, Canada.

Research groups