LOG855 Managing Digital Transformation in Healthcare (Autumn 2027)

ECTS Credits:
7.5
Responsible faculty:
Avdeling for logistikk
Campus:
Molde
Study level:
{code=HN, name=Second degree level}
Schedule (TP) Reading list (Leganto)

Table of contents

Contents

Managing Digital Transformation in Healthcare involves the strategic planning, implementation, and oversight of digital initiatives aimed at modernizing healthcare delivery systems and improving patient outcomes. It encompasses a wide range of activities, including the adoption of electronic health records (EHRs), the integration of telemedicine and remote patient monitoring technologies, the implementation of AI-driven diagnostic tools, and the utilization of data analytics for informed decision making. Managing digital transformation in healthcare requires a strategic approach that addresses technological advancements, patient needs, regulatory requirements, and implementation challenges. By embracing emerging technologies, adopting effective project management methodologies, and fostering a culture of digital innovation, healthcare organizations can improve patient care, reduce costs, and enhance overall satisfaction.

The course is connected to the following study programs

The student's learning outcomes after passing the exam

Knowledge

  • Advanced knowledge and understanding of the Foundations of Digital Transformation in Healthcare.
  • In-depth knowledge of Health Information Systems and Electronic Health Records architecture.
  • Can apply digital systems and technology in new areas in health care.
  • Can analyse Data Analytics and Health Informatics in Healthcare
  • Explore Health Information Systems and Electronic Health Records

Skills

  • Analyse Data Analytics and Health Informatics in Healthcare critically to different sources of information and use these to structure and formulate academic reasoning.
  • Can analyse and examine Telemedicine and Remote Patient Monitoring systems and work independently with practical and theoretical problem solving
  • Can analyse different Digital Initiatives in Healthcare.
  • Can use relevant methods for research and academic and development work in an independent way.
  • Can analyse Case Studies and Best Practices and do an independent, limited research or development project under supervision.

General competence

  • Can analyse problems related to Data Analytics and Health Informatics in Healthcare and research ethical issues.
    can apply his/her knowledge and skills in new areas to carry out advanced work tasks and projects.
  • Can do an extensive independent work Data Analytics and Health Informatics in Healthcare.
  • Can communicate Data Analytics and Health Informatics in Healthcare issues, both with specialists and to the public.
  • Can contribute to new thinking and in innovation processes.

Forms of teaching and learning

Lectures, group discussions, and individual/group work. All teaching and practice will take place digitally. Some lectures are mandatory.

Coursework requirements - conditions for taking the exam

To pass the individual exam (40% of the final grade).

Exam

Two exams, one individual (40%) and one group exam (60%)

  • Individual exam (40% of final exam): A set of assignments. Grading: Letter A-F
  • Group-exam (60% of final grade): Home exam, 2-4 students per group
  • Grading: Letter A-F.
  • Final grade: A combination of individual and group exam.
  • Aid, all possible material, AI is not allowed to use.

Pensum

TBA
Last updated from FS (Felles studentsystem) Oct. 14, 2026 10:19:29 PM