Christian Schmied: Catalogue data in Spring Semester 2019 |
Name | Prof. Dr. Christian Schmied (Professor Universität Zürich (UZH)) |
christian.schmied@hest.ethz.ch | |
Department | Health Sciences and Technology |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
376-0224-00L | Clinical Exercise Physiology | 3 credits | 2V | C. Spengler, C. Schmied, further lecturers | |
Abstract | This lecture series provides a comprehensive overview of the most important aspects of clinical exercise testing for diagnosis and assessment of functional status in different patient populations, e.g. patients with pulmonary, cardiac or neuro-muscular disease, with obesity, young or old age. Also, special aspects in the context of training perscriptions in these populations will be discussed. | ||||
Learning objective | By the end of this module, students: - Have the theoretical basis for disease-specific exercise testing and interpretation in clinical settings - Know important aspects for disease-specific exercise-training prescriptions and assessment of training progress - Are able to critically review and interpret scientific literature in the context of physical fitness, performance and training in different patient populations | ||||
Lecture notes | Handouts are provided via moodle. | ||||
Literature | Handouts are provided via moodle. | ||||
Prerequisites / Notice | The courses "Anatomie & Physiologie I+II", as well as "Sportphysiologie" (or Anatomy, Physiology and Exercise Physiology - equivalents for students without HST-BSc), are required. | ||||
377-0413-00L | From Symptoms to Diagnosis ![]() Only for Human Medicine BSc. | 5 credits | 5V | E. Osto, M. Farshad, J. Gubler, L. Käser, C. Schmied | |
Abstract | Clinical cases are used to link specific symptoms to the most important differential diagnoses. Symptoms are related to the most relevant and common underlying causes of disease. Students use clinical reasoning to justify and explain the selection of the appropriate diagnostic procedure and investigation to achieve state of the art clinical diagnosis based on evidence (working diagnosis). | ||||
Learning objective | 1. Students will be able to correctly define the main symptoms described during the course and associate them with the respective disease. 2. Students will be able to define the main differential diagnoses of the symptoms described during the course and explain respective diagnostic approach. 3. Students will be able to evaluate and compare pros and cons of different diagnostic algorithms based on symptom(s) presented during each session of the course a. Compare and define the most appropriate approach based on the physiopathologic mechanism b. Compare and define the most appropriate approach based on the sensibility and specificity of the investigation proposed c. Compare and define the most appropriate approach based on the cost and benefit of the investigation proposed |