Search for dissertations about: "experience-based learning model"

Showing result 1 - 5 of 11 swedish dissertations containing the words experience-based learning model.

2. 1. Medical students' learning of the consultation and the patient-doctor relationship

   Author : Mats Wahlqvist; Göteborgs universitet; []
   Keywords : medical students; learning consultation skills; patient-doctor relationship; communication skills; patient-centred attitudes; undergraduate medical education; experience-based learning model; reflection; evaluation;

   Abstract : Background: In medical education, learning about the consultation and the patient-doctor relationship is nowadays highly recommended. However, research from educational practice from students? perspective is needed to facilitate a better understanding of students? learning. The thesis is based on four studies. READ MORE

4. 2. Teaching and Learning in Type 2 Diabetes : The Importance of Self-Perceived Roles in Disease Management

   Author : Anikó Vég; Anna Sarkadi; Urban Rosenqvist; Berit Lundman; Uppsala universitet; []
   Keywords : Health services research; Typ 2 diabetes; HbA 1c ; Self-perception; Disease Management; Experience-based group education; Reflective learning; Hälso- och sjukvårdsforskning;

   Abstract : The major part of care in type 2 diabetes is in the hands of the patient so the focus of educational interventions should be on the person behind the disease. An experience-based group education programme that actively promotes participants’ reflection and understanding has been designed and implemented in cooperation with the Swedish Pharmacy. READ MORE

5. 3. Mission Experience : How to Model and Capture it to Enable Vicarious Learning

   Author : Dennis Andersson; Niklas Hallberg; Sofie Pilemalm; Henrik Eriksson; Alexander Bordetsky; José J. Cabeza Gonzalez; Linköpings universitet; []
   Keywords : ;

   Abstract : Organizations for humanitarian assistance, disaster response and military activities are characterized by their special role in society to resolve time-constrained and potentially life-threatening situations. The tactical missions that these organizations conduct regularly are significantly dynamic in character, and sometimes impossible to fully comprehend and predict. READ MORE

6. 4. Data-driven quality management using explainable machine learning and adaptive control limits

   Author : Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

   Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE

7. 5. Co-producing healthcare quality improvement : the prerequisites for, the value of and the lessons from co-production in a Swedish cardiac care setting

   Author : Anne-Marie Suutari; Kristina Areskoug Josefsson; Johan Thor; Annika Nordin; Jacob Brix; Jönköping University; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Co-production of healthcare; cardiac care; atrial fibrillation; heart failure; healthcare quality improvement; healhtcare improvement science; pragmatism; Learning Café; Experience-Based Co-Design; COM-B; Self-Determination Theory; MUSIQ; case study; content analysis; reflexive thematic analysis;

   Abstract : Background: The promotion of the best possible health and care is challenging to healthcare organizations worldwide. Healthcare organizations’ capability to improve the quality of care is therefore crucial to the sustainability of the welfare state. READ MORE