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  • 1.
    Blusi, Madeleine
    et al.
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation. Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Nieves, Juan Carlos
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Feasibility and Acceptability of Smart Augmented Reality Assisting Patients with Medication Pillbox Self-Management2019In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, p. 521-525Article in journal (Refereed)
    Abstract [en]

    Complex prescribed medicine regimens require extensive self-management. Handling multiple pills can be confusing; using a pillbox organiser is a common strategy. A smart Medication Coach Intelligent Agent (MCIA) can support patients in handling medicine. The aim of this research was to evaluate the feasibility and acceptability of the MCIA. A prototype was tested with 15 participants, age 17-76, filled a pillbox according to prescription assisted by the MCIA implemented in a Microsoft HoloLens. A quantitative method using questionnaires was applied. Results showed that using the MCIA implemented in an AR-headset, to assist people with prescribed polypharmacy regimen in filling a pillbox, was feasible and acceptable. There was a difference related to age regarding people's willingness to use an AR-headset for medication self-management. People older than 65 felt less comfortable using the technology and were also more hesitant to use the technology than those under 65.

  • 2.
    Eklund, Patrik
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Näslund, Annica
    Mobile guidelines for pharmacologic treatment of hypertension2004In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 103, p. 58-60Article in journal (Refereed)
    Abstract [en]

    Mobile health technologies provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacologic treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organised databases for pharmacological information are also necessary for successful engineering of mobile extensions in these case studies.

  • 3.
    Janols, Rebecka
    et al.
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Occupational Therapy.
    Lindgren, Helena
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    A method for co-designing theory-based behaviour change systems for health promotion2017In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 235, p. 368-372Article in journal (Refereed)
    Abstract [en]

    A methodology was defined and developed for designing theory-based behaviour change systems for health promotion that can be tailored to the individual. Theories from two research fields were combined with a participatory action research methodology. Two case studies applying the methodology were conducted. During and between group sessions the participants created material and designs following the behaviour change strategy themes, which were discussed, analysed and transformed into a design of a behaviour change system. Theories in behavioural change and persuasive technology guided the data collection, data analyses, and the design of a behaviour change system. The methodology has strong emphasis on the target group's participation in the design process. The different aspects brought forward related to behaviour change strategies defined in literature on persuasive technology, and the dynamics of these are associated to needs and motivation defined in literature on behaviour change. It was concluded that the methodology aids the integration of theories into a participatory action research design process, and aids the analyses and motivations of design choices.

  • 4.
    Karlsson, J.
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    A one-step approach to data retrieval, analysis,and documentation2002In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 90, p. 320-324Article in journal (Refereed)
    Abstract [en]

    In this paper we propose a system architecture to support data retrieval from patient records, together with data analysis, and report generation. Moving from retrieval all the way to documentation should be done as in a pipeline, and computer support must minimize manual steps in this knowledge refinement scenario. A case study is drawn from urology for surgery on patients with lower urinary tract symptoms.

  • 5.
    Karlsson, J.
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Data mining and structuring of executable dataanalysis reports: Guideline development and implementation in a narrowsense2000In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 77, p. 790-794Article in journal (Refereed)
    Abstract [en]

    In this paper we present a data mining scenario that supports development of automated web-based documentation of data analysis for diagnosis and treatment The documents can be seen as guidelines in a narrow sense, and are designed to include executable modules for the corresponding decision support systems. Our aim is to discuss the possibilities of identifying certain types of diagnoses and treatments for which guidelines can be generated and computerised more systematically.

  • 6. Karlsson, Johan
    et al.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Hallgren, Carl-Gunnar
    Sjödin, Jan-Gunnar
    Data warehousing as a basis for web-based documentation of data mining and analysis1999In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 68, p. 423-427Article in journal (Refereed)
    Abstract [en]

    In this paper we present a case study for data warehousing intended to support data mining and analysis. We also describe a prototype for data retrieval. Further we discuss some technical issues related to a particular choice of a patient record environment.

  • 7. Laleci Erturkmen, Gokce Banu
    et al.
    Yuksel, Mustafa
    Sarigul, Bunyamin
    Lilja, Mikael
    Chen, Rong
    Arvanitis, Theodoros N
    Personalised Care Plan Management Utilizing Guideline-Driven Clinical Decision Support Systems2018In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 247, p. 750-754Article in journal (Refereed)
    Abstract [en]

    Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans.

  • 8.
    Lindgren, Helena
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Limitations in physicians' knowledge when assessing dementia diseases: an evaluation study of a decision-support system2011In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 169, p. 120-124Article in journal (Refereed)
    Abstract [en]

    There is a need to provide tools for the medical professional at the point of care in the assessment of a suspected dementia disease. Early diagnosis is important in order to provide appropriate care so that the disease does not cause unnecessary suffering for the patient and relatives. DMSS (Dementia Management and Support System) is a clinical decision-support system that provides support in the diagnosis of a dementia disease, which is in use in controlled clinical evaluation settings in four countries. This paper reports the results of evaluations done in use environments in these places during a period of two years. Data in 218 patient cases were collected by 21 physicians during their use of the system in clinical practice. In 50 of the cases the use of the system were also observed and the physicians were interviewed in 88 cases. The collected data and inferences made by the system were analyzed. To summarize the results, DMSS gave appropriate support considering the patient case, available information and the user's skills and knowledge in the domain. However, the results also illuminated the need for extended and personalized support for the less skilled physician in the assessment of basic information about patients.

  • 9.
    Lindgren, Helena
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Eriksson, S.
    Clinical decision support system in dementia care2002In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 90, p. 568-576Article in journal (Refereed)
    Abstract [en]

    In this paper we present a prototype system as a tool for clinical decision support in the domain of cognitive diseases. The number of patients is increasing while the number of patients that the general practitioner (GP) meets in primary care still is too low to make the GP well trained in diagnostics and management of patients in the area of cognitive diseases. In addition, new treatment strategies are established in clinical routine directed towards cognitive deficiencies with behavioural and psychological symptoms in the presence of dementia (BPSD).

  • 10. Lindgren, Helena
    et al.
    Eklund, Patrik
    Umeå University, Faculty of Science and Technology, Departement of Computing Science.
    Eriksson, Sture
    Umeå University, Faculty of Medicine, Community Medicine and Rehabilitation, Geriatric Medicine.
    Clinical decision support system in dementia care.2002In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 90, p. 568-71Article in journal (Refereed)
    Abstract [en]

    In this paper we present a prototype system as a tool for clinical decision support in the domain of cognitive diseases. The number of patients is increasing while the number of patients that the general practitioner (GP) meets in primary care still is too low to make the GP well trained in diagnostics and management of patients in the area of cognitive diseases. In addition, new treatment strategies are established in clinical routine directed towards cognitive deficiencies with behavioural and psychological symptoms in the presence of dementia (BPSD).

  • 11.
    Lindgren, Helena
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Lundin-Olsson, Lillemor
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Physiotherapy.
    Pohl, Petra
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Physiotherapy.
    Sandlund, Marlene
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Physiotherapy.
    End users transforming experiences into formal information and process models for personalised health interventions2014In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 205, p. 378-382Article in journal (Refereed)
    Abstract [en]

    Five physiotherapists organised a user-centric design process of a knowledge-based support system for promoting exercise and preventing falls. The process integrated focus group studies with 17 older adults and prototyping. The transformation of informal medical and rehabilitation expertise and older adults' experiences into formal information and process models during the development was studied. As tool they used ACKTUS, a development platform for knowledge-based applications. The process became agile and incremental, partly due to the diversity of expectations and preferences among both older adults and physiotherapists, and the participatory approach to design and development. In addition, there was a need to develop the knowledge content alongside with the formal models and their presentations, which allowed the participants to test hands-on and evaluate the ideas, content and design. The resulting application is modular, extendable, flexible and adaptable to the individual end user. Moreover, the physiotherapists are able to modify the information and process models, and in this way further develop the application. The main constraint was found to be the lack of support for the initial phase of concept modelling, which lead to a redesigned user interface and functionality of ACKTUS.

  • 12.
    Lindgren, Helena
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Yan, Chunli
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation2015In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 210, p. 739-742Article in journal (Refereed)
    Abstract [en]

    Reasoning conducted in clinical practice is manifested through different and often combined reasoning and learning strategies, adjusted to the characteristics of the available information, the medical professional's experience and skills, and the available tools, such as clinical practice guidelines. This research outlines a design model for supporting the commonly used strategies. This design model was implemented into a clinical decision-support system (CDSS), in addition to a method for detecting reasoning strategies applied when using the CDSS. This method was applied in a case study, with preliminary results presented in this paper and will be further implemented in future studies.

  • 13. Winge, Monica
    et al.
    Johansson, Lars-Åke
    Nyström, Monica
    Lindh-Waterworth, Eva
    Umeå University, Faculty of Social Sciences, Department of Informatics.
    Wangler, Benkt
    Need for a new care model: getting to grips with collaborative home care2010In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 160, no Pt 1, p. 8-12Article in journal (Refereed)
    Abstract [en]

    In this paper we discuss the fact that more and more patients are treated in their homes by a set of organizations, sometimes with different ownership, and how this fact places new and severe demands on health care and home service staff to communicate and collaborate. We point to the need for managers in different organizations to agree on ways of communicating and collaborating on the operational level and how this aspect needs to be considered during procurement of home care services. Most importantly, by reasoning around a set of problematic areas, we derive a set of related problems and suggest solutions for dealing with them. The solutions are a mix of organizational/administrative measures and IT support for communication and coordination.

1 - 13 of 13
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