Current active course description (last updated 2023/24)
E-health: Ambient Assisted Living and Patient Care Technology
HEL7001
Current active course description (last updated 2023/24)

E-health: Ambient Assisted Living and Patient Care Technology

HEL7001

The course provides in-depth knowledge about theories that deal with the relationship between humans and technology, digital competence and artificial intelligence. The course provides in-depth insight into digital tools that are used to directly follow-up patients/clients within the field of welfare technology and distributed healthcare technology. The course also provides students with the opportunity to analyse and reflect on digital competence and digital understanding related to health and participation among a wide range of stakeholders

The course facilitates discussions related to professional and ethical assessments as well as client involvement in the choice/use of specific digital tools.

The course is part of the Master’s programme in Health Sciences. It can also be taken as an independent course, or as part of a 30 credit further education programme (E-health)

Introduction to the course

This course is for students who wish to learn about e-health with a focus on welfare and healthcare technology, placed in an organisational and technological context. Students learn about how humans and technology interact. Students will also learn about digital competence and how this affects the application of welfare and healthcare technology by different user groups. This applies to both service providers and service recipients in the health sector.

The course is part of the Master’s programme in Health Sciences. It can also be taken as an independent course, or as part of a 30 credit further education programme (E-health).

Bachelor’s degree or equivalent in health or social sciences

Knowledge:

  • Has advanced knowledge about welfare and healthcare technology related to organisation, client involvement and interaction
  • Has in-depth knowledge about the involvement of system users in the application of welfare and healthcare technology
  • Can analyse professional and ethical issues related to digital tools and health.
  • Can apply knowledge about digital competence, including simulation methods, in order to identify opportunities and obstacles in the application of welfare and healthcare technology

Skills:

  • Can analyse the need for welfare technology or healthcare technology related to the client’s needs, resources and wishes.
  • Can relate critically to welfare and healthcare technology in light of professional and ethical issues.
  • Can analyse and relate critically to the use of digital tools and formulate academic reasoning about digital competence and digital literacy.

General competence:

  • Can analyse the impact of welfare technology and healthcare technology on humans and the organisation, and conditions that affect the relationship between humans and technology
  • Can contribute to digital innovation and professional development in the health services
  • Can communicate about welfare technology and healthcare technology related to health and participation
In addition to the semester fee and course literature, students are expected to provide their own laptop computer with microphone and video equipment. A stable internet connection with sufficient capacity is required to participate in online teaching and group work.
Compulsory for students specialising in E-health as part of the Master’s in Health Sciences, and compulsory for students studying ‘E-health and Welfare Technology’.
The teaching is given online, but with the possibility of a limited number of physical meetings. Student-active learning activities with different teaching methods: lectures, seminars, group work and project work at a data collection practice placement of the student’s own choice.
The course is evaluated annually by the students through course surveys. These evaluations are part of the University’s quality assurance system.

The course involves one piece of group coursework (AK). Grading: Approved/ not approved. Coursework must be approved before the final course grade can be given.

The examination is a group assignment (OP). This is in the form of a project that takes place during the teaching period. Grading: A-F

The exam answer must always be made by the candidate personally.

For more information about ChatGPT or similar artificial intelligence - as well as source references, unregulated collaboration and plagiarism: See Guidelines for Examination Candidates at Nord University - Chancellor's decision 16.05.23 - www.nord.no/en/student/examinations-and-assessment