Sökning: "patienter integritet"

Visar resultat 6 - 10 av 14 avhandlingar innehållade orden patienter integritet.

1. 6. Patientdelaktighet. Betydelse och utvärdering inom ryggmärgsskaderehabilitering

   Författare :Jeanette Lindberg; Göteborgs universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; patientdelaktighet; personcentrering; partnerskap; respekt; information; motivation; instrumentutveckling; frågeformulär; PPRQ; PREM; PROM; ryggmärgsskada; rehabilitering; spinalenhet; vårdande; personal; närstående;

   Sammanfattning : Patientdelaktighet är av central betydelse i dagens hälso- och sjukvård men det är oklart vad det innebär i praktiken och det saknas frågeformulär för att utvärdera patienters erfarenheter av patientdelaktighet inom rehabilitering. Syftet med avhandlingen var att studera patientdelaktighet vid ryggmärgsskaderehabilitering från patienters, närståendes och personals perspektiv samt att utveckla och psykometriskt testa ett frågeformulär för utvärdering av patientdelaktighet, The Patient Participation in Rehabilitation Questionnaire (PPRQ). LÄS MER

3. 7. Operationssjuksköterskans vårdande och kompetens inom perioperativ vård

   Författare :Ann-Catrin Blomberg; Lillemor Lindwall; Birgitta Bisholt; Anna Forsberg; Karlstads universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; operating theatre nurse; perioperative nursing; responsibility; competence; hermeneutics; mixed methods; ansvar; hermeneutik; klinisk kompetens; mixad metod; operationssjuksköterska; perioperativ vård; PROFFNurse SAS; Nursing Science; Omvårdnad;

   Sammanfattning : The overall aim was to describe and deepen the understanding of what operating theatre nurses experience as caring and responsibility as well as ethical problems in perioperative practice. The aim was also to investigate how operating theatre nurses perceive clinical competence in perioperative nursing. LÄS MER

4. 8. Methods for the analysis and characterization of brain morphology from MRI images

   Författare :Irene Brusini; Chunliang Wang; Örjan Smedby; Eric Westman; Lars-Olof Wahlund; Jorge Cardoso; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Brain MRI; Image Segmentation; Machine Learning; Deep Learning; Shape Analysis; Aging; Neurodegeneration; MRT av hjärnan; Bildsegmentering; Maskininlärning; Djupinlärning; Formanalys; Åldrande; Neurodegeneration; Medical Technology; Medicinsk teknologi;

   Sammanfattning : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. LÄS MER

5. 9. Elucidating regulators of red blood cell development in health and disease

   Författare :Taha Sen; Avdelningen för molekylärmedicin och genterapi; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

   Sammanfattning : Red blood cells are are plentiful, flexible and essential. They are the most abundant cell in our body and their mainobject is to carry oxygen, which is essential for cellular respiration. The formation of red blood cells is callederythropoiesis. Erythropoiesis is intimately coupled to cell division and mitochondrial function. LÄS MER

7. 10. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

   Författare :Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. LÄS MER