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  • 1.
    Babic, Ankica
    Linköpings universitet. University of Bergen, Norway.
    Fall Prevention Activities and Resources in Norway: A Review2021Ingår i: Integrated Care and Fall Prevention in Active and Healthy Aging / [ed] Patrik Eklund, IGI Global, 2021, s. 223-241Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The relevant literature review was conducted to determine current knowledge and practices related to adult fall prevention in Norway. It included scientific publications on studies and tools. The review was extended to include the clinical studies and resources offered by the healthcare sector that was made publicly available on their websites. Results are presented in tables structured to show the study objectives, approach, and results. The information offered to patients is presented per region and hospital. During the period of the last 20 years, there were numerous studies and useful information offered to the public. There is also one fall prevention program assessed in a dedicated study.

  • 2.
    Farsirotos, Gina
    et al.
    University of Bergen, Norway.
    Babic, Ankica
    Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. University of Bergen, Norway.
    Information Technologies for Cognitive Decline2022Ingår i: : Advances in Informatics, Management and Technology in Healthcare / [ed] John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos, Martha Charalampidou, IOS Press, 2022, Vol. 295, s. 217-220Konferensbidrag (Refereegranskat)
    Abstract [en]

    Information technology (IT) is used to establish diagnoses and provide treatments for people with cognitive decline. The condition affects many before it becomes clear that more permanent changes, like dementia, could be noticed. Those who search for information are exposed to lots of information and different technologies which they need to make sense of and eventually use to help themselves. In this research, we have systematically analyzed the literature and information available on the Internet to systematically present methods used in diagnosing and treatment. We have also developed an artifact to help users obtain information with help of illustrations and text. The final user groups are all those for whom the cognitive decline is of concern. Medical professionals could be interested to direct their patients to use the artifact to gain information and keep learning at their own pace.

  • 3.
    Gesicho, Milka
    et al.
    University of Bergen, Norway.
    Babic, Ankica
    Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. University of Bergen, Norway.
    Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya.2022Ingår i: Advances in Informatics, Management and Technology in Healthcare / [ed] John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos, Martha Charalampidou, IOS Press, 2022, Vol. 295, s. 238-241Konferensbidrag (Refereegranskat)
    Abstract [en]

    Health management information systems implemented in low-and middle-income countries (LMICs) have provided availability of HIV-data. As such, dashboards have become increasingly popular as they provide a potentially powerful avenue for deriving insights at glance. This promotes use of data for decision-making by various stakeholders such as Ministries of Health as well as international donor organizations. Nonetheless, despite the use of dashboards in LMICs, their potential may go unrealized with underutilization of good design principles. In various LMICs, health facilities are required to submit HIV-indicator data on time for its use in decision-making. Hence, dashboards can be utilized in assessing facility reporting performance overtime in order to identify where interventions are needed. In this study, we applied good design principles in developing a dashboard, which presents the performance of facilities in reporting HIV-indicator data overtime (2011–2018). Timeliness and completeness in reporting were used as performance indicators and were extracted from the District Health Information Software Version 2 (DHIS2) in Kenya. Results for the system usability scale used in evaluating the dashboard was 87, which meant the dashboard usability was good.

  • 4.
    Gharehbaghi, Arash
    et al.
    Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
    Partovi, Elaheh
    Department of Electrical Engineering, Amir Kabir University, Tehran, Iran.
    Babic, Ankica
    Department of Biomedical Engineering, Linköping University, Linköping, Sweden;Department of Information Science and Media Studies, University of Bergen, Norway.
    Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification2023Ingår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Convolutional Neural Network (CNN) has been widely proposed for different tasks of heart sound analysis. This paper presents the results of a novel study on the performance of a conventional CNN in comparison to the different architectures of recurrent neural networks combined with CNN for the classification task of abnormal-normal heart sounds. The study considers various combinations of parallel and cascaded integration of CNN with Gated Recurrent Network (GRN) as well as Long- Short Term Memory (LSTM) and explores the accuracy and sensitivity of each integration independently, using the Physionet dataset of heart sound recordings. The accuracy of the parallel architecture of LSTM-CNN reached 98.0% outperforming all the combined architectures, with a sensitivity of 87.2%. The conventional CNN offered sensitivity/accuracy of 95.9%/97.3% with far less complexity. Results show that a conventional CNN can appropriately perform and solely employed for the classification of heart sound signals.

  • 5.
    Hucíková, Anežka
    et al.
    Department of Information Science and Media Studies, University of Bergen, Bergen, Norway.
    Babic, Ankica
    Department of Information Science and Media Studies, University of Bergen, Bergen, Norway;Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
    User Needs of Young Czech Adults with Multiple Sclerosis in a Lifestyle App Design2023Ingår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents a study that examined desired functionality, content, and design of a mobile application for young Czech adults living with Multiple Sclerosis (MS). The study was structured around a high-fidelity prototype developed for the corresponding user group in Norway. Both groups were active on social media and willing to contribute to designing an application promoting a healthy lifestyle and well-being. Adopting the content analysis, the study first compared the social content shared within the Facebook communities in the Norwegian and Czech user groups that were active. Regardless of the similarities, the Czech group expected that solutions regarding main functionalities and content should stand out from other competitive applications offered on the market. Most of all, they would like to see healthcare staff being engaged in content creation by providing credible information, especially regarding new treatments and clinical trials. Enhanced interaction between all the stakeholders (patients, and healthcare providers) would add value and relevance to the content already provided by social media.

  • 6.
    Jakobsen, Malin
    et al.
    Univeristy of Bergen, Norway.
    Babic, Ankica
    Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Department of Biomedical Engineering.
    Patient Self-Monitoring Using Intelligent Phonocardiography on a Mobile Platform2023Ingår i: Studies in Health Technology and Informatics, ISSN 1879-8365Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The paper presents the design and high-fidelity prototype of the remote patient self-monitoring system using a combination of intelligent phonocardiography, mobile and web-based platforms. The advantage of self-monitoring is patient awareness about potential changes, the convenience of performing the measurement often, and the saving of the findings. A mobile platform enables a physician to see the data, get a summary of patient recordings, and as well as saving the data. We have designed two user profiles to enable such functionality and to enable consultations. During the three development iterations, two main prototypes were developed. In the patient prototype, the main functionality is measuring PCG signals, but with the possibility of reading more details about the results. In the physician's prototype, the main functionality is the patient overview, with the possibility of querying through old patient data to consult newer patients. For physicians to monitor patients monitoring themselves, the solution needs to be properly clinically validated and regulatory demands satisfy before it could be utilized in the Norwegian health domain.

  • 7.
    Ngugi, Philomena N
    et al.
    University of Bergen, Norway.
    Gesicho, Milka B
    University of Bergen, Norway.
    Babic, Ankica
    Linköpings universitet. University of Bergen, Norway.
    Impact of Electronic Medical Records Systems in Reporting HIV Health Data Indicators in Kenya.2022Ingår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 294, s. 234-238Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Electronic Medical Records Systems (EMRs) improve the quality of patient care and reduce medical errors. Nevertheless, their role in health data indicator reporting performance is unclear. We assessed reporting completeness and timeliness of HIV indicator data to the national aggregate reporting system, District Health Information Software 2 (DHIS2) in Kenya. We compared the reporting performance of facilities with and without EMRs implementation for the year 2013 as EMRs uptake was in progress. The comparative analysis involved 104 facilities implemented with and 152 without KenyaEMR system on three HIV programmatic areas. There were no statistically significant differences in performance regarding reporting completeness and timeliness by facilities with or without EMRs (p-values > 0.05 on all the three areas). The KenyaEMR system assessed in this study, therefore, cannot be associated with the transformed performance in reporting health indicators. This was probably due to the fact that the EMRs do not report electronically to DHIS2. Additional analysis can be conducted to compare reporting performance once data exchange functionality is fully established between KenyaEMR and DHIS2 systems.

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