Certificate in Decision Analysis in Healthcare

Students integrate scientific evidence, patients’ preferences, and experts’ opinions to analyze managerial decisions and identify optimal alternatives. Included are applications to analysis of practice patterns, benchmarking, probabilistic risk assessment, cost analysis, conflict analysis and measurement of severity of illness. Decision analytical tools such as Multi-Attribute Value Models, Bayesian Probability Networks, and Decision Trees are covered.

We live in a fast changing society where analysis is of paramount importance. Our hope is to help students solve pressing problems in our organizations and society. Good decisions based on a systematic consideration of all relevant factors and stakeholder opinions and values lead to good outcomes, both for those involved in the decision making process, and for the customers who are directly impacted by the consequences and effects of such decisions. At the conclusion of the course participants should be able to:

  • Structure decisions
  • Measure preferences
  • Quantify uncertainty
  • Analyze conflict
  • Generate new options

Students are expected to use subjective opinions of experts to construct analytical models that could help managers make important organizational decisions.

Module I: Introduction to Statistics
Module II: Decision Analysis in Healthcare

Knowledge of English language

High School leaving certificate

The joined PG diploma in Decision Analysis in Heathcare is accredited in European Union.

Università degli Studi Guglielmo Marconi is accredited by the Italian Ministry of Education, University and Research (MIUR)

Center of Academic Research and Studies is accredited by the Greek National Organization for the Certification of Qualifications and Vocational Guidance

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  • Fill the enrollment form below
  • Pay the one time or the first installment
  • Scan and send at seminars@cears.edu.gr
    • the bank receipt
    • school leaving certificate (or previous degree)
    • ID or passport
  • Within 3 working days you will receive your codes for our platform

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