• Acceptance barriers of using patients’ self-collected health data during medical consultation 

      Giordanengo, Alain; Årsand, Eirik; Grøttland, Astrid; Bradway, Meghan; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      Patients increasingly collect health-related data using mobile health apps and sensors. Studies have shown that this data can be beneficial for both clinicians and patients if used during medical consultations. However, such data is almost never used outside controlled situations or medical trials. This paper explains why the usage of self-collected health data is not widespread by identifying ...
    • Dataset of wearable sensors with possibilities for data exchange 

      Henriksen, André; Muzny, Miroslav; Giordanengo, Alain; Mužík, Jan; Grøttland, Astrid; Blixgård, Håvard Kvalvåg; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-12)
      We performed a search to identify available wearable sensors systems that can collect patient health data and have data sharing capabilities. Findings available in “Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems”. We performed an initial search of the Vandrico wearable database, and supplemented the resulting ...
    • Design and development of a context-aware knowledge-based module for identifying relevant information and information gaps in patients with type 1 diabetes self-collected health data 

      Giordanengo, Alain; Øzturk, Pinar; Hansen, Anne Helen; Årsand, Eirik; Grøttland, Astrid; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-11)
      <p><i>Background</i>: Patients with diabetes use an increasing number of self-management tools in their daily life. However, health institutions rarely use the data generated by these services mainly due to (1) the lack of data reliability, and (2) medical workers spending too much time extracting relevant information from the vast amount of data produced. This work is part of the FullFlow project, ...
    • Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study 

      Giordanengo, Alain; Årsand, Eirik; Woldaregay, Ashenafi Zebene; Bradway, Meghan; Grøttland, Astrid; Hartvigsen, Gunnar; Granja, Conceição; Torsvik, Torbjørn; Hansen, Anne Helen (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-09)
      <p><i>Background - </i>Introducing self-collected health data from patients with diabetes into consultation can be beneficial for both patients and clinicians. Such an initiative can allow patients to be more proactive in their disease management and clinicians to provide more tailored medical services. Optimally, electronic health record systems (EHRs) should be able to receive self-collected health ...
    • How mHealth can facilitate collaboration in diabetes care: qualitative analysis of codesign workshops 

      Bradway, Meghan; Morris, Rebecca L.; Giordanengo, Alain; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-30)
      <i>Background</i> - Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system.<p> ...
    • Measuring the effects of sharing mHealth data during diabetes consultations: a mixed-method study protocol 

      Bradway, Meghan; Giordanengo, Alain; Joakimsen, Ragnar Martin; Hansen, Anne Helen; Grøttland, Astrid; Hartvigsen, Gunnar; Randine, Pietro; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-02-10)
      <i>Background</i>: There is rising demand for health care’s limited resources. Mobile health (mHealth) could be a solution, especially for those with chronic illnesses such as diabetes. mHealth can increases patients’ options to self-manage their health, improving their health knowledge, engagement, and capacity to contribute to their own care decisions. However, there are few solutions for sharing ...
    • Possible usages of smart contracts (blockchain) in healthcare and why no one is using them 

      Giordanengo, Alain (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      Security, privacy, transparency, consent, and data sharing are major challenges that healthcare institutions must address today. The explosion of the Internet of Things (IoT), the enactment of the General Data Protection Regulation (GDPR), the growing trend of patients self-managing their diseases, and the eagerness of patients to share their self-collected health data with primary and secondary ...
    • Using FullFlow to manage the overwhelming flood of patients’ self-collected health data: A system that addresses acceptance barriers regarding the introduction of diabetes patients’ self-collected health data into electronic health records and medical consultations 

      Giordanengo, Alain (Doctoral thesis; Doktorgradsavhandling, 2020-03-31)
      Patients increasingly collect lifestyle and health-related data thanks to the explosion of sensors and healthcare applications. Multiple studies have shown that this data can be useful during consultations, resulting in more customised medical services. Moreover, this data permits clinicians to gain an overview of the patients’ conditions and enables patients to gain knowledge about the consequences ...
    • Wearable Sensors with Possibilities for Data Exchange: Analyzing Statusand Needs of Different Actors in Mobile Health Monitoring Systems 

      Muzny, Miroslav; Henriksen, André; Giordanengo, Alain; Mužík, Jan; Grøttland, Astrid; Blixgård, Håvard Kvalvåg; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-31)
      <i>Background</i> - Wearable devices with an ability to collect various type of physiological data are increasingly becoming seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of these devices provide remote transfer of health data, as a result of the increasing need for ambulatory monitoring of patients. This has a potential to reduce the cost ...