Analysis of Decision-Making in Medicine
A.Y. 2022/2023
Learning objectives
Conoscenza basilare della programmazione matematica nelle sue specificità lineari con variabili continue e discrete.
Applicazione delle tecniche di programmazione lineare attraverso algebraic modelling languages (AML).
Applicazione delle tecniche di programmazione lineare attraverso algebraic modelling languages (AML).
Expected learning outcomes
Capacità di riconoscere un problema di ottimizzazione, tradurlo in notazione matematica e conseguentemente risolverlo con gli appositi software (e.g. Lingo).
Lesson period: First semester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course syllabus
1. Introduction to decision making
2. Linear programming
3. Integer programmanig
4. Multiple criteria decision making
5. Case study using LINGO (www.lindo.com)
6. Applications to health and medicine
2. Linear programming
3. Integer programmanig
4. Multiple criteria decision making
5. Case study using LINGO (www.lindo.com)
6. Applications to health and medicine
Prerequisites for admission
No prerequsites
Teaching methods
Face-to-face lectures, lab activity
Teaching Resources
Lecture notes
Relevant scientific articles:
1. Khan I, Pintelon L, Martin H. The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review. Medical Decision Making. 2022;42(2):262-274. doi:10.1177/0272989X211019040
2. Capan M, Khojandi A, Denton BT, et al. From Data to Improved Decisions: Operations Research in Healthcare Delivery. Medical Decision Making. 2017;37(8):849-859. doi:10.1177/0272989X17705636
3. Epstein DM, Chalabi Z, Claxton K, Sculpher M. Efficiency, Equity, and Budgetary Policies: Informing Decisions Using Mathematical Programming. Medical Decision Making. 2007;27(2):128-137. doi:10.1177/0272989X06297396
4. Parkan, C. and Hollands, L. (1990) 'The Use of Efficiency Linear Programs for Sensitivity Analysis in Medical Decision Making', Medical Decision Making, 10(2), pp. 116-125. doi: 10.1177/0272989X9001000206.
Relevant scientific articles:
1. Khan I, Pintelon L, Martin H. The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review. Medical Decision Making. 2022;42(2):262-274. doi:10.1177/0272989X211019040
2. Capan M, Khojandi A, Denton BT, et al. From Data to Improved Decisions: Operations Research in Healthcare Delivery. Medical Decision Making. 2017;37(8):849-859. doi:10.1177/0272989X17705636
3. Epstein DM, Chalabi Z, Claxton K, Sculpher M. Efficiency, Equity, and Budgetary Policies: Informing Decisions Using Mathematical Programming. Medical Decision Making. 2007;27(2):128-137. doi:10.1177/0272989X06297396
4. Parkan, C. and Hollands, L. (1990) 'The Use of Efficiency Linear Programs for Sensitivity Analysis in Medical Decision Making', Medical Decision Making, 10(2), pp. 116-125. doi: 10.1177/0272989X9001000206.
Assessment methods and Criteria
The final grade is based on a lab project
- University credits: 3
Lessons: 20 hours
Professor:
Repetto Marco