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  • 1.
    Georgsson, Mattias
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics2016In: JAMIA Journal of the American Medical Informatics Association, ISSN 1067-5027, E-ISSN 1527-974X, Vol. 23, no 1, p. 5-11Article in journal (Refereed)
    Abstract [en]

    Objective Mobile health (mHealth) systems are becoming more common for chronic disease management, but usability studies are still needed on patients' perspectives and mHealth interaction performance. This deficiency is addressed by our quantitative usability study of a mHealth diabetes system evaluating patients' task performance, satisfaction, and the relationship of these measures to user characteristics. Materials and Methods We used metrics in the International Organization for Standardization (ISO) 9241-11 standard. After standardized training, 10 patients performed representative tasks and were assessed on individual task success, errors, efficiency (time on task), satisfaction (System Usability Scale [SUS]) and user characteristics. Results Tasks of exporting and correcting values proved the most difficult, had the most errors, the lowest task success rates, and consumed the longest times on task. The average SUS satisfaction score was 80.5, indicating good but not excellent system usability. Data trends showed males were more successful in task completion, and younger participants had higher performance scores. Educational level did not influence performance, but a more recent diabetes diagnosis did. Patients with more experience in information technology (IT) also had higher performance rates. Discussion Difficult task performance indicated areas for redesign. Our methods can assist others in identifying areas in need of improvement. Data about user background and IT skills also showed how user characteristics influence performance and can provide future considerations for targeted mHealth designs. Conclusion Using the ISO 9241-11 usability standard, the SUS instrument for satisfaction and measuring user characteristics provided objective measures of patients' experienced usability. These could serve as an exemplar for standardized, quantitative methods for usability studies on mHealth systems.

  • 2.
    Ola, Spjuth
    et al.
    Karolinska Institutet, SWE.
    Andreas, Karlsson
    Karolinska Institutet, SWE.
    Mark, Clements
    Karolinska Institutet, SWE.
    Keith, Humphreys
    Karolinska Institutet, SWE.
    Emma, Ivansson
    Karolinska Institutet, SWE.
    Jim, Dowling
    Royal Institute of Technology, SWE.
    Martin, Eklund
    Karolinska Institutet, SWE.
    Alexandra, Jauhiainen
    AstraZeneca AB R&D, SWE.
    Kamila, Czene
    Karolinska Institutet, SWE.
    Henrik, Grönberg
    Karolinska Institutet, SWE.
    Pär, Sparén
    Karolinska Institutet, SWE.
    Fredrik, Wiklund
    Karolinska Institutet, SWE.
    Abbas, Cheddad
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    þorgerður, Pálsdóttir
    Nordic Information for Action e-Science Center, SWE.
    Mattias, Rantalainen
    Karolinska Institutet, SWE.
    Linda, Abrahamsson
    Karolinska Institutet, SWE.
    Erwin, Laure
    Royal Institute of Technology, SWE.
    Jan-Eric, Litton
    European Research Infrastructure Consortium, AUT.
    Juni, Palmgren
    Helsinki University, FIN.
    E-Science technologies in a workflow for personalized medicine using cancer screening as a case study2017In: JAMIA Journal of the American Medical Informatics Association, ISSN 1067-5027, E-ISSN 1527-974X, Vol. 24, no 5, p. 950-957Article in journal (Refereed)
    Abstract [en]

    Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.

    Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies. The generic eCPC contribution is a workflow with 4 nodes applied iteratively, and the concept of e-Science signifies systematic use of tools from the mathematical, statistical, data, and computer sciences.

    Results: The eCPC workflow is illustrated through 2 case studies. For prostate cancer, an in-house personalized screening tool, the Stockholm-3 model (S3M), is presented as an alternative to prostate-specific antigen testing alone. S3M is evaluated in a trial setting and plans for rollout in the population are discussed. For breast cancer, new biomarkers based on breast density and molecular profiles are developed and the US multicenter Women Informed to Screen Depending on Measures (WISDOM) trial is referred to for evaluation. While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform.

    Discussion and Conclusion: E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.

  • 3. Roberts, Kirk
    et al.
    Boland, Mary Regina
    Pruinelli, Lisiane
    Dcruz, Jina
    Berry, Andrew
    Georgsson, Mattias
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Hazen, Rebecca
    Sarmiento, Raymond F
    Backonja, Uba
    Yu, Kun-Hsing
    Jiang, Yun
    Brennan, Patricia Flatley
    Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.2017In: JAMIA Journal of the American Medical Informatics Association, ISSN 1067-5027, E-ISSN 1527-974X, Vol. E1, p. E185-E190Article in journal (Refereed)
    Abstract [en]

    The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.

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