Module 19: Cells, Microbiology and Infectious Diseases (30 hours)
This module examines the study of bioscience and general pathophysiology. The principles of microbiology and the pathophysiology of infections relevant to paramedicine are discussed and applied to practice in the prehospital and emergency environment.
Module 20: Nervous, Endocrine and Musculoskeletal Disorders (30 hours)
This module examines the study of the organization, structure, functions of the human nervous, endocrine and musculoskeletal systems. The pathophysiology of related disorders relevant to paramedicine is also discussed. Learners will be facilitated to evaluate and integrate new skills and knowledge with their existing practice.
Module 21: Cardiovascular, Haematological and Respiratory Disorders (30 hours)
This module examines the organization, structure and functions of human cardiovascular, circulatory and respiratory systems. The pathophysiology of related disorders relevant to paramedicine is also discussed and applied to enhance practice in pre-hospital and emergency care.
Module 22: Digestive, Urinary, Immune and Integumentary Disorders (30 hours)
This module examines the organization, structure and functions of the human gastrointestinal, urinary, immune and integumentary systems. The pathophysiology of related disorders relevant to paramedicine is also discussed and applied to enhance practice in pre-hospital and emergency care.
Module 23: Pharmacology (30 hours)
This module introduces the learners to the major concepts in pharmacology including the rationale for drug use and the various processes that impact on the safe and effective use of drugs, with emphasis on pre-hospital and emergency medications.
Module 24: Research Methods and Statistics (30 hours)
This module introduces learners to the basic concepts and principles of research methodology. It covers areas of research design related to conceptualisation, operationalisation, validation, sampling, and examines various methodologies for data collection. It also introduces statistical concepts and statistical analysis. It aims to equip learners with the skills to analyse and interpret findings. The module covers various aspects of probability, descriptive and inferential data analysis.