Dr. Anna Skovgaard

Assistant Professor

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Biography

Anna Louise Skovgaard is a postdoctoral researcher at Aarhus University, working within the Department of Clinical Medicine. Her research focuses on medical anthropology, particularly the experiences of patients managing chronic illnesses and navigating the healthcare system. With a Master's degree and a PhD in Anthropology, she has taken a keen interest in interdisciplinary orthopaedic pathways and how patients interact with various therapeutic approaches. Her recent projects include ethnographic studies on patient decision-making in orthopedic care as well as evaluating the impact of e-learning on cancer rehabilitation. Anna’s work aims to highlight the complexities of patient experiences in acute care settings and contribute to a better understanding of chronic illness management. She has been actively involved in organizing workshops, seminars, and contributions to conferences related to medical anthropology. Through her research, Anna is dedicated to improving the patient experience and understanding the social implications of health and illness.

Research Interests

Experience

Postdoctoral Researcher

2023-08-01 — Present

Aarhus University • Aarhus

Conducting research in medical anthropology with a focus on patient experiences and healthcare interactions.

Postdoctoral Researcher

2023-08-01 — Present

Regional Hospital Silkeborg • Silkeborg

Engaged in interdisciplinary projects related to orthopedic paths and chronic patients.

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.