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Mechanical ventilation of the lungs is considered to be a complex field which takes several years of practice to achieve mastery. New practitioners in ventilator therapy are plunged from theory and didactic instruction directly into clinical work where training continues on real patients. This often results in sub-optimal therapy which might be dangerous for both the health and life of the patient. With the ventilator therapy patient recognised as one of the most expensive and resource demanding, a sub-optimal therapy also influences the health care economy. One way to improve the quality of ventilator therapy is by improving the ICU personnel's knowledge about, and skills in giving this kind of treatment.
This paper describes the conceptual architecture of ILE-VT, an intelligent learning environment in ventilator therapy. ILE-VT is based on cognitive apprenticeship and when used as an educational supplement provides advantages over traditional ventilator therapy education. The ILE-VT's conceptual architecture utilises and combines the advantages of several different approaches including critiquing and articulate expert systems, student modelling, knowledge-based simulation, and instructional planning.
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