Search for dissertations about: "evaluation of health information system"
Showing result 1 - 5 of 152 swedish dissertations containing the words evaluation of health information system.
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1. Planning primary health care provision : assessment of development work at a health centre
Abstract : At the Primary Health Care Centre in Vännäs (VPHCC), northern Sweden, a development work was implemented in 1976-1980. The overall purpose was to enhance primary health care planning. READ MORE
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2. Self-rated health in public health evaluation
Abstract : There is still a debate concerning the evidence base for community interventions. The randomised clinical trial design (RCT) is increasingly challenged as a gold standard for their evaluation. READ MORE
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3. Evaluating Success Factors of Health Information Systems
Abstract : Health information systems are our technological response to the growing demand for health care. However, their success in their mission can be challenging due to the complexity of evaluating technological interventions in health care. In the series of studies compiled in this dissertation, we looked at the evaluation of these systems. READ MORE
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4. Building Usability into Health Informatics : Development and Evaluation of Information Systems for Shared Homecare
Abstract : How can we develop usable and work process-oriented ICT systems for shared homecare?Shared homecare involves different professionals, consists of mobile work and requires immediate and ubiquitous access to patient-oriented information, supporting an integrated view on the care process.This thesis presents a new collaborative design method for user needs analysis and requirements specification in the context of health information systems development; the Multi-disciplinary Thematic Seminar (MdTS) method. READ MORE
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5. Disaster medicine- performance indicators, information support and documentation : A study of an evaluation tool
Abstract : The science of disaster medicine is more a descriptive than analytical type. Research, in most instances, has not employed quantitative methods and there is very sparse knowledge based on analytical statistics. One consequence of this is that similar mistakes are repeated over and over. Lessons that should be learned are merely observed. READ MORE