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Learning support for the consultation: information support and decision support should be placed in an educational
Paul Robinson1, Ian Purves, Rob Wilson
1Sowerby Centre for Health Informatics, University of Newcastle, UK. p.j.robinson@ncl.ac.uk
Medical Education
|April 24, 2003
Summary
Practitioners learn by integrating new evidence-based information into their existing knowledge during patient consultations. Decision support software should facilitate this learning process for experienced healthcare professionals.
Area of Science:
- Medical Informatics
- Professional Education
- Cognitive Science
Background:
- Information technology enables real-time, contextually relevant, evidence-based information delivery during patient consultations.
- Practitioners must rapidly integrate new computer-provided information with their experience during consultations.
- This integration occurs under time constraints and in the patient's presence.
Purpose of the Study:
- To frame the practitioner's task of integrating new information within an educational context.
- To explore the role of learning theories in the use of decision support systems.
- To provide insights into the implementation of real-time decision support for experienced practitioners.
Main Methods:
- Review of theories on professional experience and knowledge.
- Application of schema theory to understand information integration.
- Examination of cognitive dissonance and reflection in practitioner learning.
Main Results:
- Framing decision support implementation through a learning lens offers valuable perspectives.
- The core process involves practitioner learning during the consultation.
- Decision support and information support software are crucial for this learning.
Conclusions:
- Real-time decision support should be viewed in the context of practitioner learning and experience.
- Software design and practitioner training must support the learning process during consultations.
- Effective integration requires supporting the practitioner's cognitive and learning processes.