MB10 - Research Methodology

LEARNING OUTCOMES

1. Learning techniques and methods for literature research.
2. Acquiring skills in critical analysis and synthesis of reports.
3. Understanding the process of writing a thesis.
4. Training in the use of the Mendeley reference management tool.
5. Learning statistical analysis techniques.
6. Designing research projects and methodological approaches.
7. Analyzing the legal aspects of personal data in the healthcare sector.

COURSE CONTENT

Introduction to Literature Research, Analysis & Synthesis

• Introduction to literature research methods, critical analysis, and synthesis.
• Guidelines for thesis writing.
• Critical review of scientific publications.
• Introduction to Mendeley (Reference Management Tool).
• Introduction to statistical analysis.
• Training in statistical analysis tools and data analysis techniques.
• Legal issues related to scientific publications.
• Legal aspects of personal data protection in healthcare.

Research Ethics and Scientific Integrity

• Fundamental principles of research ethics in biomedical sciences.
• Scientific integrity and responsible conduct in research.
• Issues of plagiarism, authenticity, and reproducibility of research results.
• Guidelines for ethical approval of research studies.
• Patient consent and personal data protection in clinical research.
• Conflicts of interest and ethical dilemmas in biomedical research.

Right to Health and Public Health Policy During the Pandemic

• National legal framework regulating the right to health.
• Legal aspects of vaccination policies.
• Connection to the European Convention on Human Rights and fundamental rights in public health.

Personal Data Protection in Healthcare

• Definition and scope of personal health data.
• European and social regulatory frameworks for data protection.
• Responsibilities of data processors and patient rights under GDPR.
• Principles of data processing in healthcare (Article 5 of GDPR).
• Regulations on surveillance systems and cameras in hospital environments.

Artificial Intelligence (AI) in Healthcare

• Applications of AI in medical science.
• Regulatory framework for AI in healthcare.
• Ethical and legal challenges of AI implementation.
• Potential risks of AI in healthcare.
• Guidelines proposed by the World Health Organization (WHO) on AI ethics in healthcare.