| 11. |
- Davoody, Nadia, et al.
(författare)
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Care Professionals' Perceived Usefulness of eHealth for Post-Discharge Stroke Patients.
- 2016
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Ingår i: Studies in health technology and informatics. - : IOS Press. - 1879-8365. ; 228, s. 589-93
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Konferensbidrag (refereegranskat)abstract
- Despite many attempts to provide appropriate tools for supporting stroke patients in their care and rehabilitation processes, there is still room for improvement. We propose an online care and rehabilitation planning tool as a potential eHealth service for stroke patients. The aim is to study the care professionals' perceived usefulness of the planning tool. We developed and presented a functional prototype to a neurology team in Stockholm. Three focus groups were performed with the care professionals in the team and the data were analysed based on the unified theory of acceptance and use of technology. Although care professionals mentioned challenges such as time limitation for using the tool and issues related to the responsibility of the system, they were positive towards the tool and its potential usefulness in ease of understanding the rehabilitation process and support for collaboration.
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| 12. |
- Eftring, Håkan, et al.
(författare)
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Eliciting parents' individual requirements for an inclusive digital school system
- 2016
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Ingår i: Universal Design 2016: Learning from the Past, Designing for the Future - Proceedings of the 3rd International Conference on Universal Design, UD 2016. - 1879-8365 .- 0926-9630. - 9781614996835 ; 229, s. 211-221
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Konferensbidrag (refereegranskat)abstract
- Parents often have a busy time sorting out their life puzzles, including getting information about their children's activities in school. More and more communication between teachers and parents take place via digital school systems. It can be hard for parents to find the information they are looking for and the teacher decides when information is sent and what communication method to use. All parents, but especially parents with disabilities, might have individual preferences on how to receive information and how to adapt meetings at school. In this paper we present a project where we involved parents and teachers in focus groups, an idea workshop and iterative user trials of a digital prototype. The goal was to elicit parents' individual requirements for an inclusive digital school system, where they can store their individual preferences about how and when to receive information from school and what requirements they have on meetings at school. Preliminary results show that we managed to create open and focused discussions among parents and teachers. The parents reacted very positively on an onboarding page with the possibility to quickly and easily enter preferences after their first log in, but more work needs to be done on how preferences are categorized on the onboarding page. Finally, parents need to get clear feedback from teachers and school when they have entered or updated preferences, so they can trust that their preferences will be met.
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| 13. |
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| 14. |
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| 15. |
- Erlingsdottir, Gudbjörg, et al.
(författare)
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Lost in Translation? Care Coordination cross Contexts in Swedish Homecare Nursing
- 2019
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Ingår i: Context Sensitive Health Informatics : Sustainability in Dynamic Ecosystems - Sustainability in Dynamic Ecosystems. - 0926-9630 .- 1879-8365. - 9781643680040 - 9781643680040 ; 265, s. 42-47
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Bokkapitel (refereegranskat)abstract
- The responsibilities for delivery of care in Sweden is divided between the regions and the municipalities. The regions run the hospitals and the primary care centres (PCCs) whereas the municipalities are responsible for homecare nursing and nursing homes. The homecare nurses and the doctors they need to seek advice from, thus belong to different organizations/contexts. As more patients with multi- and long-term illnesses are taken care of in their homes the workload of the homecare nurses has increased. A new healthcare agreement has thus been signed between a region in South Sweden and its municipalities. The healthcare agreement states that doctors from the PCCs are to form mobile teams together with the homecare nurses. This paper reports from a pre-study investigating how the agreement, in terms of translation sociology, is interpreted in four of the municipalities. The aim of the research project as a whole is to develop digital support systems for the mobile teams.
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| 16. |
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| 17. |
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| 18. |
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| 19. |
- Ghareh Baghi, Arash, et al.
(författare)
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An Edge Computing Method for Extracting Pathological Information from Phonocardiogram
- 2019
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614999867 ; 262, s. 364-367
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a structure of decision support system for pediatric cardiac disease, based on an Internet of Things (IoT) framework. The structure performs the intelligent decision making at its edge processing level, which classifies the heart sound signal, to three classes of cardiac conditions, normal, mild disease, and critical disease. Three types of the errors are introduced to evaluate the performance of the processing method, Type 1, 2 and 3, defined as the incorrect classification from the critical disease, mild, and normal, respectively. The method is validated using 140 real data patient records collected from the hospital referrals. The estimated negative errors for the Type 1, and 2, are calculated to be 0% and 4.8%, against the positive errors which are 6.3% and 13.3%, respectively. The Type 3, is calculated to be 16.7%, showing a high sensitivity of the method to be used in an IoT healthcare framework.
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| 20. |
- Ghareh Baghi, Arash, et al.
(författare)
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Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography
- 2018
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614998792 - 9781614998808 ; 251, s. 157-160
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method, but provides a graphical representation to compare the learning capacity of different classification methods. Two different methods, Deep Time Growing Neural Network (DTGNN) and Hidden Markov Model (HMM), are selected as two classification methods for comparison. Time series of heart sound signals are employed as the case study where the classifiers are trained to learn the disease-related changes. Results showed that the DTGNN offers a superior performance both in terms of the capacity and the structural risk. The A-Test method can be especially employed in comparing the learning methods with small data size.
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