Ankica Babic
Stilling
Professor
Tilhørighet
Forskergrupper
Forskning
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.
Undervisning
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)
Publikasjoner
Vitenskapelig foredrag
- Nydal, Anton; Babic, Ankica (2024). Let’s Play a Cognitive Game. (ekstern lenke)
- Babic, Ankica (2024). Measuring Usability of e-Health Applications”. (ekstern lenke)
- Gharehbaghi, Arash; Babic, Ankica (2021). A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods . (ekstern lenke)
- Jakobsen, Malin Wist; Babic, Ankica (2021). Intellicor: Mobile Design for Monitoring Phonographic Signals . (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (2020). Distinguishing Aortic Stenosis from Bicuspid Aortic Valve in Children using Intelligent Phonocardiography. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2020). Facility Performance Dashboard Instance of HIV-Indicator reporting: Case example of Kenya. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (2020). Health facility ownership type and performance on HIV indicator data reporting in Kenya. (ekstern lenke)
- Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica (2020). How introducing Electronic Medical Records (EMR) Systems affected HIV health data indicators reporting performance. (ekstern lenke)
- Hucíková, Anežka; Babic, Ankica (2020). Requirements for mHealth Application among Czech and Norwegian Young Adults with MS: A Comparative Study. (ekstern lenke)
- Arash, Gharehbaghi; Lindén, Maria; Babic, Ankica (2019). Evaluating Structural Risk of Supervised Classification Methods using A‐Test Validation Method . (ekstern lenke)
- Hucikova, Anezka; Babic, Ankica (2018). Experience with gamification as part of the Fall Prevention Programme. (ekstern lenke)
- Ellison, Peter; Høl, Paul Johan; Babic, Ankica (2018). An individual patient outcome tool for joint replacement patients. (ekstern lenke)
- Tufte, Trond Kjetil Bakken; Babic, Ankica (2017). A Healthy Lifestyle Intervention Application. (ekstern lenke)
- Babic, Ankica (2015). The Era of Electric and Electronic Waste. (ekstern lenke)
- Berntsen, Eirik; Babic, Ankica (2014). Information System for Postmarket Surveillance of Total Joint Prostheses. (ekstern lenke)
- Kanza, Grace Benjamin; Babic, Ankica (2014). Agile Development for Smart User Interfaces to Cancer Registries. (ekstern lenke)
- Gharehbaghi, Arash; Ask, Per; Lindén, Maria et al. (2014). A Novel Model for Screening Aortic Stenosis Using Phonocardiogram. (ekstern lenke)
- Fjellanger, Maiken Beate; Babic, Ankica (2014). Digital storytelling as a tool for conveying cancer diagnoses to children. (ekstern lenke)
- Babic, Ankica; Fredrik, Hiis Bergh; Eikås, Rose Mari et al. (2013). Digi-Dag: Digital Diary for Users with Psychological Disorders. (ekstern lenke)
- Babic, Ankica; Berg Andersen, Per-Øivin (2013). Self-reporting for Bipolar Patients through Smartphone. (ekstern lenke)
- Babic, Ankica; Kanza, Grace (2013). Data Mining in Cancer Registries: A Case for Design Studies. (ekstern lenke)
- Babic, Ankica (2013). Case Based Reasoningin Support of the LVAD Surgical Treatment. (ekstern lenke)
- Babic, Ankica; Sørheim, Helen (2013). Digital Diary for Persons with Psychological Disorders Using Interaction Design. (ekstern lenke)
- Babic, Ankica; Sørheim, Helen (2013). M-Health ApplicationProduct Development for Physiological Disorders Based on Interaction Design. (ekstern lenke)
- Babic, Ankica; Peterzen, Bengt; Lönn, Urban et al. (2013). Case Based Reasoning in a Web Based Decision Support System for Thoracic Surgery. (ekstern lenke)
- Babic, Ankica (2011). Reading into the end points and clinical outcomes. (ekstern lenke)
- Babic, Ankica (2011). Cherry. Patient Information System for Children with Cancer. (ekstern lenke)
- Babic, Ankica (2011). Patient Information Systems: Support, Patient Forums, QoL Services. (ekstern lenke)
- Gynnild, Astrid; Babic, Ankica (2010). Web Dynamics in Activist Journalism. (ekstern lenke)
Vitenskapelig artikkel
- Sannes Thormodsen, Marcus; Babic, Ankica (2024). Information Platform for Antibiotics. (ekstern lenke)
- Hucikova, Anezka; Babic, Ankica (2023). User Needs of Young Czech Adults with Multiple Sclerosis in a Lifestyle App Design. (ekstern lenke)
- Jakobsen, Malin Wist; Babic, Ankica (2023). Patient Self-Monitoring Using Intelligent Phonocardiography on a Mobile Platform. (ekstern lenke)
- Gharehbaghi, Arash; Partovi, Elaheh; Babic, Ankica (2023). Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification. (ekstern lenke)
- Gharehbaghi, Arash; Partovi, Elaheh; Babic, Ankica (2023). Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification. (ekstern lenke)
- Jakobsen, Malin Wist; Babic, Ankica (2022). Intellicor: Mobile Design for Monitoring Phonographic Signals. (ekstern lenke)
- Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica (2022). Impact of Electronic Medical Records Systems in Reporting HIV Health Data Indicators in Kenya. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2022). Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya. (ekstern lenke)
- Gharehbaghi, Arash; Babic, Ankica (2022). Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography. (ekstern lenke)
- Farsirotos, Gina; Babic, Ankica (2022). Information Technologies for Cognitive Decline. (ekstern lenke)
- Gharehbaghi, Arash; Babic, Ankica (2022). A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods. (ekstern lenke)
- Ngugi, Philomena Njeri; Babic, Ankica; Kariuki, James et al. (2021). Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries. (ekstern lenke)
- Gesicho, Milka Bochere; Were, Martin C; Babic, Ankica (2021). Evaluating performance of health care facilities at meeting HIV-indicator reporting requirements in Kenya: an application of K-means clustering algorithm. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2021). Identifying barriers and facilitators in HIV-indicator reporting for different health facility performances: A qualitative case study. (ekstern lenke)
- Ngugi, Philomena Njeri; Babic, Ankica; Were, Martin C. (2021). A multivariate statistical evaluation of actual use of electronic health record systems implementations in Kenya. (ekstern lenke)
- Ngugi, Philomena Njeri; Were, Martin C; Babic, Ankica (2021). Users’ perception on factors contributing to electronic medical records systems use: a focus group discussion study in healthcare facilities setting in Kenya.. (ekstern lenke)
- Gesicho, Milka Bochere; Were, Martin C; Babic, Ankica (2020). Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (2020). Health facility ownership type and performance on HIV indicator data reporting in Kenya. (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (2020). Distinguishing Aortic Stenosis from Bicuspid Aortic Valve in Children using Intelligent Phonocardiography. (ekstern lenke)
- Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica et al. (2020). Integrating socially assistive robots into Japanese nursing care. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (2020). K-means clustering in monitoring facility reporting of HIV indicator data: Case of Kenya . (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C (2020). Health Facility Ownership Type and Performance on HIV Indicator Data Reporting in Kenya. (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A.; Babic, Ankica (2020). Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography. (ekstern lenke)
- Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica et al. (2020). Integrating socially assistive robots into Japanese nursing care. (ekstern lenke)
- Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica et al. (2020). Assessment of HIV data reporting performance by facilities during EMR systems implementations in Kenya. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2019). Task-Based Approach Recommendations to Enhance Data Visualization in the Kenya National Health Data Warehouse. (ekstern lenke)
- Mugisha, Alice; Babic, Ankica; Wakholi, Peter et al. (2019). High-fidelity prototyping for mobile electronic data collection forms through design and user evaluation. (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (2019). Forth Heart Sound Detection Using Backward Time-Growing Neural Network. (ekstern lenke)
- 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. (ekstern lenke)
- Mugisha, Alice; Nankabirwa, Victoria; Tylleskär, Thorkild et al. (2019). A usability design checklist for Mobile electronic data capturing forms: the validation process. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2019). Analysis of Usage of Indicators by Leveraging Health Data Warehouses: A Literature Review. (ekstern lenke)
- Kloster, Mads; Babic, Ankica (2019). Mobile VR-Application for Neck Exercises . (ekstern lenke)
- Borgund, Adrian Kristoffer; Babic, Ankica (2019). Developing a Gamified First Aid Training Application for Children . (ekstern lenke)
- Olsen, Runar; Babic, Ankica (2019). Establishing User Requirements for a Norwegian IBD Mobile Application. (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (2019). An Edge Computing Method for Extracting Pathological Information from Phonocardiogram Arash . (ekstern lenke)
- Jakobsen, Martine Oppegaard; Babic, Ankica (2019). Lifestyle Intervention for Young Adults with MS: A Design Study. (ekstern lenke)
- Ellison, Peter; Høl, Paul Johan; Babic, Ankica (2018). An individual patient outcome tool for joint replacement patients. (ekstern lenke)
- Tonheim, Aleksander Nygård; Babic, Ankica (2018). User Evaluation of a Multiple Sclerosis Self-Management Mobile Application. (ekstern lenke)
- Tonheim, Aleksander Nygård; Babic, Ankica (2018). Assessing Information Needs for a Personal Multiple Sclerosis Application. (ekstern lenke)
- Tonheim, Aleksander Nygård; Babic, Ankica (2018). Multiple Sclerosis Application Design with Medical Expert Evaluation. (ekstern lenke)
- Krumsvik, Ole Andreas; Babic, Ankica; Mugisha, Alice (2018). Design Reflection on Mobile Electronic Data Capturing Forms in African Rural Settings. (ekstern lenke)
- Krumsvik, Ole Andreas; Babic, Ankica; Mugisha, Alice (2018). Design Variations for Improved Usability of Mobile Data Capture in Rural Uganda. (ekstern lenke)
- Wakholi, Peter; Babic, Ankica; Mugisha, Alice (2018). Design Features for Usable Mobile Electronic Data Capturing Forms: The Form Developers’ Perspective. (ekstern lenke)
- Gharehbaghi, Arash; Babic, Ankica (2018). Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography. (ekstern lenke)
- Gharehbaghi, Arash; Babic, Ankica; Sepehri, Amir A (2018). Extraction of Diagnostic Information from Phonocardiographic Signal Using Time-Growing Neural Network. (ekstern lenke)
- 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. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica (2018). Using Innovation-Decision Model to Describe the Adoption to Utilization of HIV-Data for Decision-Making in LMICs. (ekstern lenke)
- Mugisha, Alice; Krumsvik, Ole Andreas; Tylleskär, Thorkild et al. (2018). Data Collectors' Design Preferences for Mobile Electronic Data Capturing Forms. (ekstern lenke)
- Åserød, Hanne; Babic, Ankica (2017). Pharmacovigilance mobile tool design in the field of arhroplasty. (ekstern lenke)
- Hucikova, Anezka; Babic, Ankica (2017). Medical informatics idle youtube potential. (ekstern lenke)
- Waruhari, Philomena ; Babic, Ankica; Nderu, Lawrence et al. (2017). A review of current patient matching techniques. (ekstern lenke)
- Babic, Ankica; Gharehbaghi, Arash; Sepehri, Amir A et al. (2017). A Hybrid Machine Learning Method for Detecting Cardiac Ejection Murmurs. (ekstern lenke)
- Gharehbaghi, Arash; Lindén, Maria; Babic, Ankica (2017). A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods. (ekstern lenke)
- Krumsvik, Ole Andreas; Babic, Ankica (2017). Designing an E-Learning Platform for Postoperative Arthroplasty Adverse Events. (ekstern lenke)
- Mugisha, Alice Nandawula; Babic, Ankica; Wakholi, Peter et al. (2017). Usability in mobile electronic data collection tools: Form developers' views. (ekstern lenke)
- Gharehbaghi, Arash; Sepehri, Amir A; Linden, Maria et al. (2017). Intelligent phonocardiography for screening ventricular septal defect using time growing neural network. (ekstern lenke)
- Krumsvik, Ole Andreas; Babic, Ankica (2017). Designing a safety reporting smartphone application to improve patient safety after total hip arthroplasty. (ekstern lenke)
- Tufte, Trond Kjetil Bakken; Babic, Ankica (2017). Effect of social media in a mHealth application. (ekstern lenke)
- Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C (2017). Critical issues in evaluating national-level health data warehouses in LMICs: Kenya case study. (ekstern lenke)
- Åserød, Hanne; Babic, Ankica (2017). Designing a mobile system for safety reporting of arthroplasty adverse events. (ekstern lenke)
- Tufte, Trond Kjetil Bakken; Babic, Ankica (2017). A healthy lifestyle intervention application. (ekstern lenke)
- Babic, Ankica; Hucikova, Anezka (2016). Overcoming constraints in healthcare with cloud technology. (ekstern lenke)
- Babic, Ankica; Knudsen, Greger Siem (2016). Identifying dyscalculia symptoms related to magnocellular reasoning using smartphones. (ekstern lenke)
- Gharehbaghi, Arash; Ask, Per; Babic, Ankica (2015). A pattern recognition framework for detecting dynamic changes on cyclic time series. (ekstern lenke)
- Kanza, Grace Benjamin; Babic, Ankica (2015). Agile development for smart user interfaces to cancer registries. (ekstern lenke)
- Gharehbaghi, Arash; Ask, Per; Nylander, Eva et al. (2015). A hybrid model for diagnosing sever aortic stenosis in asymptomatic patients using phonocardiogram. (ekstern lenke)
- Kanza, Grace Benjamin; Babic, Ankica (2014). Data mining in cancer registries: A case for design studies. (ekstern lenke)
- Andersen, Per-Øivind Berg; Babic, Ankica (2014). Self-reporting for bipolar patients through smartphone. (ekstern lenke)
- Sørheim, Helen; Babic, Ankica (2014). Digital diary for persons with psychological disorders using interaction design. (ekstern lenke)
Doktorgradsavhandling
- Babic, Ankica (2021). Development of a systematic method for assessing HIV-indicator data reporting in Kenya by Milka Bochere Gesicho . (ekstern lenke)
- Ngugi, Philomena Njeri; Babic, Ankica (2021). A Systematic Method for Evaluating Implementations of Electronic Medical Records Systems in Low- and Medium-Income Countries. (ekstern lenke)
- Babic, Ankica (2020). Designing usable mobile forms for collection of health data in Uganda. (ekstern lenke)
Faglig kapittel
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. (ekstern lenke)
- Babic, Ankica; Hucikova, Anezka (2016). Cloud Technology:Empowering Healthcare Organizations . (ekstern lenke)
Poster
- Ngugi, Philomena Njeri; Babic, Ankica (2018). Real Challenges Associated with Patient Identification. (ekstern lenke)
- Babic, Ankica; Krumsvik, Ole Andreas (2017). A self-reporting tool to reduce the occurrence of postoperative adverse events after total hip arthroplasty. (ekstern lenke)
- Babic, Ankica; Tufte, Trond (2017). Move Fit: A Healthy Lifestyle Application. (ekstern lenke)
- Babic, Ankica; Åserød, Hanne (2017). Designing a bedside application for adverse event reporting. (ekstern lenke)
- Babic, Ankica; Knudsen, Greger Siem (2016). MagnoMath: Mobile Application for identifying Dyscalculia Symptoms related to Magnocellular Reasoning. (ekstern lenke)
- Ertkjern, Ørjan; Babic, Ankica (2014). Postmarket Surveillance of Otrhopedic Implants using Web-technologies. (ekstern lenke)
- Babic, Ankica; Peterzen, Bengt; Lönn, Urban et al. (2011). AssistMe System: Data Mining within the Domain of Thoracic Surgery. (ekstern lenke)
- Babic, Ankica (2011). Data Mining within the domain of thoracic surgery. (ekstern lenke)
Short communication
Faglig foredrag
- Babic, Ankica; Engrønningen, Stian (2015). System Development Methods. (ekstern lenke)
- Engrønningen, Stian; Babic, Ankica (2014). Waste Festival solution concept. (ekstern lenke)
- Babic, Ankica (2014). The era of digital and electronic waste. (ekstern lenke)
- Berntsen, Eirik; Babic, Ankica (2014). Smart Bins solution concept. (ekstern lenke)
Vitenskapelig oversiktsartikkel/review
Sammendrag/abstract
Rapport
Se en full 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.
Utmerkelser
"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.