| 1. |
- Grünloh, Christiane, et al.
(author)
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Using Critical Incidents in Workshops to Inform eHealth Design
- 2017
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In: Human-Computer Interaction - INTERACT 2017. - Cham : Springer. - 9783319677439 - 9783319677446 ; , s. 364-373
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Conference paper (peer-reviewed)abstract
- Demands for technological solutions to address the variety of problems in healthcare have increased. The design of eHealth is challenging due to e.g. the complexity of the domain and the multitude of stakeholders involved. We describe a workshop method based on Critical Incidents that can be used to reflect on, and critically analyze, different experiences and practices in healthcare. We propose the workshop format, which was used during a conference and found very helpful by the participants to identify possible implications for eHealth design, that can be applied in future projects. This new format shows promise to evaluate eHealth designs, to learn from patients’ real stories and case studies through retrospective meta-analyses, and to inform design through joint reflection of understandings about users’ needs and issues for designers.
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| 2. |
- Han, Buhm, et al.
(author)
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A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases
- 2016
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In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 48:7, s. 803-
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Journal article (peer-reviewed)abstract
- There is growing evidence of shared risk alleles for complex traits (pleiotropy), including autoimmune and neuropsychiatric diseases. This might be due to sharing among all individuals (whole-group pleiotropy) or a subset of individuals in a genetically heterogeneous cohort (subgroup heterogeneity). Here we describe the use of a well-powered statistic, BUHMBOX, to distinguish between those two situations using genotype data. We observed a shared genetic basis for 11 autoimmune diseases and type 1 diabetes (T1D; P < 1 x 10(-4)) and for 11 autoimmune diseases and rheumatoid arthritis (RA; P < 1 x 10(-3)). This sharing was not explained by subgroup heterogeneity (corrected P-BUHMBOX > 0.2; 6,670 T1D cases and 7,279 RA cases). Genetic sharing between seronegative and seropostive RA (P < 1 x 10(-9)) had significant evidence of subgroup heterogeneity, suggesting a subgroup of seropositive-like cases within seronegative cases (P-BUHMBOX = 0.008; 2,406 seronegative RA cases). We also observed a shared genetic basis for major depressive disorder (MDD) and schizophrenia (P < 1 x 10(-4)) that was not explained by subgroup heterogeneity (P-BUHMBOX = 0.28; 9,238 MDD cases).
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| 3. |
- Jalo, Hoor, 1994, et al.
(author)
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Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review
- 2024
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In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2. - 2184-4305.
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Conference paper (peer-reviewed)abstract
- Stroke is a leading cause of mortality and disability worldwide. Therefore, there is a growing interest in prehospital point-of-care stroke clinical decision support systems (CDSSs), which with improved precision can identify stroke and decrease the time to optimal treatment, thereby improving clinical outcomes. Artificial intelligence (AI) may be a route to improve CDSSs for clinical benefit. Deploying AI in the area of prehospital stroke care is still in its infancy. There are several existing systematic and scoping reviews summarizing the progress of AI methods for stroke assessment. None of these reviews include grey literature, which could be a valuable source of information, especially when analysing future research and development directions. This paper aims to use grey literature to investigate stroke assessment CDSSs based on AI. The study adheres to PRISMA guidelines and presents seven records showcasing promising technologies. These records included three clinical trials, two smartphone applications, one master thesis and one PhD dissertation, which identify electroencephalogram (EEG), video analysis and voice and facial recognition as potential data sources for early stroke identification. The integration of these technologies may offer the prospect of faster and more accurate CDSSs in the future.
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| 4. |
- Lee, Eunji, et al.
(author)
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Development of Verified Innovation Process for Healthcare Solutions (VIPHS): A Stepwise Model for Digital Health
- 2023
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In: Studies in Health Technology and Informatics. ; , s. 736-740
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Conference paper (peer-reviewed)abstract
- Many digital health projects often stop in the pilot or test phase. Realisation of new digital health services is often challenging due to lack of guidelines for the step-by-step roll-out and implementation of the systems when changing work processes and procedures are needed. This study describes development of the Verified Innovation Process for Healthcare Solutions (VIPHS) – a stepwise model for digital health innovation and utilisation using service design principles. A multiple case study (two cases) involving participant observation, role play, and semi-structured interviews were conducted for the model development in prehospital settings. The model might be helpful to support realisation of innovative digital health projects in a holistic, disciplined, and strategic way.
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| 5. |
- Lee, Eunji, 1980, et al.
(author)
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Development of Verified Innovation Process for Healthcare Solutions (VIPHS): A Stepwise Model for Digital Health
- 2023
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In: Studies in health technology and informatics. - 1879-8365 .- 0926-9630. ; 302, s. 736-740
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Journal article (peer-reviewed)abstract
- Many digital health projects often stop in the pilot or test phase. Realisation of new digital health services is often challenging due to lack of guidelines for the step-by-step roll-out and implementation of the systems when changing work processes and procedures are needed. This study describes development of the Verified Innovation Process for Healthcare Solutions (VIPHS) - a stepwise model for digital health innovation and utilisation using service design principles. A multiple case study (two cases) involving participant observation, role play, and semi-structured interviews were conducted for the model development in prehospital settings. The model might be helpful to support realisation of innovative digital health projects in a holistic, disciplined, and strategic way.
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| 6. |
- Seth, Mattias, 1993, et al.
(author)
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Reviewing Challenges in Specifying Interoperability Requirement in Procurement of Health Information Systems
- 2024
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In: Studies in Health Technology and Informatics. - 1879-8365 .- 0926-9630. ; 310, s. 8-12
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Journal article (peer-reviewed)abstract
- Procurement of health information systems (HIS) is a complex and critical task that requires early identification of interoperability requirements. However, specifying adequate requirements is often associated with several challenges. We examined relevant peer-reviewed literature and public documents (policy documents, annual reports, and newspapers) to summarize existing challenges in specifying interoperability requirement during procurement of HISs. In this study, 32 public documents and 2343 peer-reviewed articles were found using Google search engine, Springer, PubMed and ScienceDirect. Collected data were analyzed using a thematic coding schema. Our result shows that challenges related to describing the needs properly, conflicting needs and knowledge gaps are shared between most articles. Further research in the direction of developing a model that can bridge knowledge gaps, facilitate interdisciplinary collaboration, and help to avoid fuzzy requirements is needed.
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