EPN-V2

INTENPRA10 Clinical Studies in Intensive and Critical Care Nursing, Level 1 Course description

Course name in Norwegian
Praksisstudier i intensivsykepleierens funksjons- og ansvarsområder, trinn 1
Study programme
Advanced Programme in Intensive Care Nursing
Weight
20.0 ECTS
Year of study
2020/2021
Programme description
Course history

Introduction

This course provides a broad introduction to Artificial Intelligence (AI), with methodologies and techniques that can be applied to different application domains. The course will balance theoretical approaches and practical tasks. Two broad AI areas will be covered, namely supervised and unsupervised methods. Among those, standard methods for regression, classification and clustering will be covered, e.g. support vector machines, nearest neighbor, decision tree, K-means, agglomerative and hierarchical clustering. An introduction to the usage of artificial neural networks and backpropagation algorithm will be provided.

Required preliminary courses

None

Learning outcomes

Content

  • Observations and clinical assessments in connection with serious self-care deficits in relation to a patient's fundamental needs
  • Preventing complications in connection with acute and/or critical illness, advanced medical treatment and intensive care nursing
  • Reducing stress and alleviating pain and discomfort in connection with advanced medical treatment and intensive care nursing
  • Communication and interaction with intensive care patients and their next of kin
  • Nutrition in connection with acute and critical illness
  • Preventing and treating intensive care delirium
  • Medical equipment
  • Administration of medical gases, electromedical equipment and medical gas equipment

Teaching and learning methods

Simulation and supervised practical training.

Course requirements

The following coursework requirements must be met before a student can receive an assessment for the course:

  • The student¿s specification of learning outcomes for the course.
  • The student must submit at least one written assessment per month
  • Attendance in compulsory activities
    • Simulation

Assessment

The assessment is based on the learning outcomes for the course, the student's specification of the learning outcomes and the formative assessment made of the student during the practical training period.

An attendance requirement applies to practical training. In order to pass a practical training course, the student must have attended at least 90% of the planned activities in each course. Students must make up for absence exceeding 10% by agreement with the lecturer and the practical training establishment. If a student¿s absence exceeds 20%, he/she will fail the course. Students who fail a period of practical training must retake the whole training period.

Permitted exam materials and equipment

Not relevant.

Grading scale

Pass-Fail.

Examiners

The summative assessment is carried out by a representative of the practical training establishment and a representative of the university. The final decision on whether to award a pass or fail grade is made by the university.

Overlapping courses

INTENPRA10 and MINTPRA10 overlap 100%.

Academic content is overlapping with INTENPRA1 and MINTPRA1.