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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Yunus Emre Health Services Vocational School
  2. Department of Database, Network Design and Management
  3. Program in Digital Health Systems Technician
  4. Course Structure Diagram with Credits
  5. Decision Support Systems and Artificial Intelligence in Diagnosis
  6. Learning Outcomes
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Last Updated: 21/08/2026
# Learning Outcome
LO-1 Explain the definition and scope of clinical decision support systems.
LO-2 Distinguish the basic types of CDSS (rule-based and data-driven).
LO-3 Recognize the applications of artificial intelligence and machine learning in healthcare.
LO-4 Explain AI-assisted image analysis in the diagnostic process.
LO-5 Describe deep learning approaches in the analysis of clinical data.
LO-6 Explain the integration of decision support systems with electronic health records.
LO-7 Interpret alert systems for drug interaction and allergy checks.
LO-8 Evaluate diagnostic accuracy and system performance.
LO-9 Discuss ethics, transparency, and accountability issues in AI applications.
LO-10 Evaluate current and future developments of artificial intelligence in healthcare.

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