Bakgrund: Medicintekniken blir bara mer avancerad för vart år. Sjuksköterskan använder medicintekniken dagligen i omvårdnaden. Patienten är ett subjekt, vilket betyder att den är mer än en kropp. Medicintekniken kan när den används på fel sätt av sjuksköterskan, ändra synen på patienten och göra den till ett objekt. Syfte: Syftet med denna studie var att beskriva sjuksköterskors erfarenheter av hur det är att arbeta med medicinteknik i omvårdnaden och hur sjuksköterskan anser att medicintekniken inverkar på omvårdnaden. Metod: Kvalitativ innehållsanalys användes enligt Graneheim och Lundman (2004). Data samlades in genom intervjuer med sju sjuksköterskor som arbetade på akutmottagningen. Resultat: I analysen skapades olika kategorier: Omvårdnadskompetens, krav, kvalité, förhållningssätt och omvårdnadsfokus. Konklusion: Sjuksköterskan är beroende av medicintekniken för att omvårdnaden ska fungera. Medicintekniken har en negativ effekt på omvårdnaden, ifall sjuksköterskan inte reflekterar över varför medicintekniken används från första början. / Background: The medicine technology is getting more advanced with each year. The nurse is using it daily in the care. The patient is a subject which means it is more than a body. Medical technology when used improperly by the nurse can change the view of the patient and turn the patient into an object. Purpose: The purpose of this study was to describe nurses' experiences. How it is working with medical technology in the care is and how nurses believe that medical technology impact on nursing care. Method: Qualitative content analysis was used by Graneheim and Lundman (2004). The data were collected through interviews with seven nurses that are working in a critical care unit. Result: Based on the analysis different categories were found: Caring knowledge, claims on the nurse, quality, approach and nursing focus. Conclusion: The nurse is depending on the medicine technology for the care to work. Medical technology has a negative impact on nursing care, if the nurse does not reflect on why medical technology is used in the first place.

This disseratition copes with a actual and controversly discussed topic. It is a compilation and knowledgable discussion of central analyses concerning the journals crisis with special regard to electronic publishing as well as initiatives of the open access, selfarchiving and preprint server community. It serves as a source of contributions of different actors in the market for electronic scholarly information, being commercial or uncommercial publishers, scholarly societies, libraries, etc.

Serious illness in childhood is a rare occurrence, but accounts for 20% of childhood deaths. Early recognition and treatment of serious illness is vital if the child is to recover without long-term disability. It is known that vital signs such as heart rate, respiratory rate, temperature, and oxygen saturation can be used to identify children who are at high risk of serious illness. This thesis presents research into the development of a vital signs monitor, designed for use in the initial assessment of unwell children at their first point of contact with a medical practitioner. Child-friendly monitoring techniques are used to obtain vital signs, which can then be combined using data fusion techniques to assist clinicians in identifying children with serious illness. Existing normal ranges for heart rate and respiratory rate in childhood vary considerably, and do not appear to be based on clinical evidence. This thesis presents a systematic meta-analysis of heart rate and respiratory rate from birth to 18 years of age, providing evidence-based curves which can be used to assess the degree of abnormality in these important vital signs. Respiratory rate is particularly difficult to measure in children, but is known to be predictive of serious illness. Current methods of automated measurement can be distressing, or are time-consuming to apply. This thesis therefore presents a novel method for estimating the respiratory rate from an optical finger sensor, the pulse oximeter, which is routinely used in clinical practice. Information from multiple vital signs can be used to identify children at risk of serious illness. A number of data fusion techniques were tested on data collected from children attending primary and emergency care, and shown to outperform equivalent existing scoring systems when used to identify those with more serious illness.