Hjem
  • E-postAnkica.Babic@uib.no
  • Telefon+47 55 58 91 39
  • Besøksadresse
    Fosswinckelsgt. 6
    Rom 
    518
  • Postadresse
    Postboks 7802
    5020 Bergen

Mitt forskningsområde er medisinsk informatikk og omfatter prosjekter som utføres i samarbeid med helsepersonell og medisinske eksperter. Målet kan f.eks være å hente kunnskap fra medisinske data eller å forbedre informasjonsflyten i helsesektoren. Informasjonssystemene som blir evaluert, designet og utviklet i denne forskningen kan være web-baserte, databaser eller mobile applikasjoner.

Utvalgte publikasjoner
  • 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

Jeg har undervist og forelest i emner på bachelor- og masternivå, blant andre:

  • Grunnkurs i informasjonsvitskap (INFO100)
  • Samfunnsvitskaplege tenkemåtar (SV100)
  • Datahåndtering (INFO125)
  • Systemutvikling (INFO212)
  • Prosjektarbeid og forskingsdesign (INFOMEVI300)
  • Data Architectures for Information Retrieval and Web Intelligence (INFO323)
  • Advanced Topics in Artificial Intelligence (INFO381)
Vitenskapelig artikkel
  • 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. 467-470.
  • Kloster, Mads; Babic, Ankica. 2019. Mobile VR-Application for Neck Exercises . Studies in Health Technology and Informatics. 206-209.
  • Jakobsen, Martine Oppegaard; Babic, Ankica. 2019. Lifestyle Intervention for Young Adults with MS: A Design Study. Studies in Health Technology and Informatics. 360-363.
  • 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.
  • 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. 341-345.
  • Olsen, Runar; Babic, Ankica. 2019. Establishing User Requirements for a Norwegian IBD Mobile Application. Studies in Health Technology and Informatics. 372-375.
  • Borgund, Adrian Kristoffer; Babic, Ankica. 2019. Developing a Gamified First Aid Training Application for Children . Studies in Health Technology and Informatics. 126-129.
  • 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. 184-187.
  • 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. 1-12.
  • Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica. 2019. An Edge Computing Method for Extracting Pathological Information from Phonocardiogram Arash . Studies in Health Technology and Informatics. 364-367.
  • 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. 1-11.
  • 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. 117-120.
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. User Evaluation of a Multiple Sclerosis Self-Management Mobile Application. Studies in Health Technology and Informatics. 233-236.
  • 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. 157-160.
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Multiple Sclerosis Application Design with Medical Expert Evaluation. International Federation for Medical and Biological Engineering Proceedings. 457-461.
  • 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. 187.
  • 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. 849-853.
  • 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. 439-443.
  • 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. 347-350.
  • 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. 463-466.
  • 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. 93-96.
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Assessing Information Needs for a Personal Multiple Sclerosis Application. Studies in Health Technology and Informatics. 486-490.
  • Ellison, Peter; Høl, Paul Johan; Babic, Ankica. 2018. An individual patient outcome tool for joint replacement patients. Studies in Health Technology and Informatics. 129-132.
  • 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. 72-75.
  • Åserød, Hanne; Babic, Ankica. 2017. Pharmacovigilance mobile tool design in the field of arhroplasty. Studies in Health Technology and Informatics. 104-107.
  • Hucikova, Anezka; Babic, Ankica. 2017. Medical informatics idle youtube potential. Studies in Health Technology and Informatics. 132-135.
  • 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. 108-111.
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. Effect of social media in a mHealth application. Studies in Health Technology and Informatics. 120-123.
  • Krumsvik, Ole Andreas; Babic, Ankica. 2017. Designing an E-Learning Platform for Postoperative Arthroplasty Adverse Events. Studies in Health Technology and Informatics. 348-352.
  • 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. 84-87.
  • Åserød, Hanne; Babic, Ankica. 2017. Designing a mobile system for safety reporting of arthroplasty adverse events. International Federation for Medical and Biological Engineering Proceedings. 571-574.
  • 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. 201-204.
  • Waruhari, Philomena ; Babic, Ankica; Nderu, Lawrence; Were, Martin C. 2017. A review of current patient matching techniques. Studies in Health Technology and Informatics. 205-208.
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. A healthy lifestyle intervention application. Studies in Health Technology and Informatics. 240-243.
  • 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.
  • 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. 43-47.
  • Babic, Ankica; Hucikova, Anezka. 2016. Overcoming constraints in healthcare with cloud technology. Studies in Health Technology and Informatics. 165-168.
  • Babic, Ankica; Knudsen, Greger Siem. 2016. Identifying dyscalculia symptoms related to magnocellular reasoning using smartphones. Studies in Health Technology and Informatics. 229-232.
  • Kanza, Grace Benjamin; Babic, Ankica. 2015. Agile development for smart user interfaces to cancer registries. International Federation for Medical and Biological Engineering Proceedings. 711-714.
  • Gharehbaghi, Arash; Ask, Per; Babic, Ankica. 2015. A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognition. 696-708.
  • 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. 1006-1009.
  • Andersen, Per-Øivind Berg; Babic, Ankica. 2014. Self-reporting for bipolar patients through smartphone. International Federation for Medical and Biological Engineering Proceedings. 1358-1361.
  • Sørheim, Helen; Babic, Ankica. 2014. Digital diary for persons with psychological disorders using interaction design. International Federation for Medical and Biological Engineering Proceedings. 1390-1393.
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Data mining in cancer registries: A case for design studies. International Federation for Medical and Biological Engineering Proceedings. 1417-1420.
Rapport
  • Babic, Ankica. 2011. LiU-IMT-R-0048: AssistMe System: A Web-based system for data mining in the thoracic surgery domain. .
  • Babic, Ankica. 2011. LiU-IMT-R-0047: Reading into the end points and clinical outcomes. .
Faglig foredrag
  • Babic, Ankica; Engrønningen, Stian. 2015. System Development Methods.
  • Engrønningen, Stian; Babic, Ankica. 2014. Waste Festival solution concept.
  • Babic, Ankica. 2014. The era of digital and electronic waste.
  • Berntsen, Eirik; Babic, Ankica. 2014. Smart Bins solution concept.
Vitenskapelig foredrag
  • Arash, Gharehbaghi; Lindén, Maria; Babic, Ankica. 2019. Evaluating Structural Risk of Supervised Classification Methods using A‐Test Validation Method .
  • Hucikova, Anezka; Babic, Ankica. 2018. Experience with gamification as part of the Fall Prevention Programme.
  • Ellison, Peter; Høl, Paul Johan; Babic, Ankica. 2018. An individual patient outcome tool for joint replacement patients.
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. A Healthy Lifestyle Intervention Application.
  • Babic, Ankica. 2015. The Era of Electric and Electronic Waste.
  • Berntsen, Eirik; Babic, Ankica. 2014. Information System for Postmarket Surveillance of Total Joint Prostheses.
  • Fjellanger, Maiken Beate; Babic, Ankica. 2014. Digital storytelling as a tool for conveying cancer diagnoses to children.
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Agile Development for Smart User Interfaces to Cancer Registries.
  • Gharehbaghi, Arash; Ask, Per; Lindén, Maria; Babic, Ankica. 2014. A Novel Model for Screening Aortic Stenosis Using Phonocardiogram.
  • Babic, Ankica; Berg Andersen, Per-Øivin. 2013. Self-reporting for Bipolar Patients through Smartphone.
  • Babic, Ankica; Sørheim, Helen. 2013. M-Health ApplicationProduct Development for Physiological Disorders Based on Interaction Design.
  • Babic, Ankica; Sørheim, Helen. 2013. Digital Diary for Persons with Psychological Disorders Using Interaction Design.
  • Babic, Ankica; Fredrik, Hiis Bergh; Eikås, Rose Mari; Mongstad, Grete; Helen, Sørheim. 2013. Digi-Dag: Digital Diary for Users with Psychological Disorders.
  • Babic, Ankica; Kanza, Grace. 2013. Data Mining in Cancer Registries: A Case for Design Studies.
  • Babic, Ankica. 2013. Case Based Reasoningin Support of the LVAD Surgical Treatment.
  • Babic, Ankica; Peterzen, Bengt; Lönn, Urban; Casimir Ahn, Henrik. 2013. Case Based Reasoning in a Web Based Decision Support System for Thoracic Surgery.
  • Babic, Ankica. 2011. Reading into the end points and clinical outcomes.
  • Babic, Ankica. 2011. Patient Information Systems: Support, Patient Forums, QoL Services.
  • Babic, Ankica. 2011. Cherry. Patient Information System for Children with Cancer.
  • Gynnild, Astrid; Babic, Ankica. 2010. Web Dynamics in Activist Journalism.
Short communication
  • Hucíková, Anežka; Babic, Ankica. 2016. Cloud computing in healthcare: A space of opportunities and challenges. Studies in Health Technology and Informatics. 122.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gharehbaghi, Arash; Babic, Ankica; Sepehri, Amir A. 2019. A Machine Learning Method for Screening Children with Patent Ductus Arteriosus Using Intelligent Phonocardiography. 7 sider.
  • Babic, Ankica; Hucikova, Anezka. 2016. Cloud Technology:Empowering Healthcare Organizations .
Sammendrag/abstract
  • Babic, Ankica; Berg Andersen, Per-Øivin. 2013. Mobile-supported life charting for bipolar patients - user requirements study. Studies in health technology and informatics. 1111-1111.
  • Babic, Ankica; Berntsen, Eirik. 2013. Cherry: mobile application for children with cancer. Studies in health technology and informatics. 1168-1168.
Poster
  • Ngugi, Philomena Njeri; Babic, Ankica. 2018. Real Challenges Associated with Patient Identification.
  • Babic, Ankica; Tufte, Trond. 2017. Move Fit: A Healthy Lifestyle Application.
  • Babic, Ankica; Åserød, Hanne. 2017. Designing a bedside application for adverse event reporting.
  • Babic, Ankica; Krumsvik, Ole Andreas. 2017. A self-reporting tool to reduce the occurrence of postoperative adverse events after total hip arthroplasty.
  • Babic, Ankica; Knudsen, Greger Siem. 2016. MagnoMath: Mobile Application for identifying Dyscalculia Symptoms related to Magnocellular Reasoning.
  • Ertkjern, Ørjan; Babic, Ankica. 2014. Postmarket Surveillance of Otrhopedic Implants using Web-technologies.
  • Babic, Ankica. 2011. Data Mining within the domain of thoracic surgery.
  • Babic, Ankica; Peterzen, Bengt; Lönn, Urban; Casimir Ahn, Henrik. 2011. AssistMe System: Data Mining within the Domain of Thoracic Surgery.
Vitenskapelig oversiktsartikkel/review
  • Babic, Ankica; Peterzén, Bengt; Lönn, Urban; Ahn, Henrik C. 2014. Case Based Reasoning in a web based decision support system for thoracic surgery. 1413-1416.

Se fullstendig oversikt over publikasjoner i CRIStin.

Applikasjoner utviklet med studenter

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 oppgaven “Critical Issues in Evaluating National-Level Health Data Warehouses in LMICs: Kenya Case Study” (Milka Fesicho) under den internasjonale konferansen i "Informatics, Management and Technology in Healthcare".

"Best Student Paper Award" for oppgaven “Medical Informatics Idle YouTube Potential” (Anezka Hucikova) under den internasjonale konferansen i "Informatics, Management and Technology in Healthcare".

"Best Student Paper Award" for oppgaven “Identifying Dyscalculia Symptoms Related to Magnocellular Reasoning Using Smartphones”  (Greger Siem Knudsen) under den internasjonale konferansen i "Informatics, Management and Technology in Healthcare".

"Best Student Paper Award" for the paper “User Evaluation of a Multiple Sclerosis Self-Management Mobile Application” (Aleksander Nygård Tonheim) under den internasjonale konferansen i "Informatics, Management and Technology in Healthcare".

1. plass vinner under "Digital Diary for Persons with Psychological Disorders Using Interaction Design".

Gull medalje 'For Scientific excellence and merit' under MEDINFO World Congress of Medical Informatics, Vancouver, Canada.

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