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Course unit

Digital healthcare

Last updated: 04/03/2024

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Course Director(s):

FLECK Julia

General Description:

Industrial engineering for healthcare services is a scientific field dedicated to the application of industrial engineering and operational research techniques to the healthcare domain. The goal of this module is to present some of the most relevant data-driven organizational problems in healthcare systems, and the industrial engineering techniques that can be applied or adapted to solve such problems.


Key words:

Number of teaching hours

60

Fields of study

Teaching language

English

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority
To model a decision-support problem using linear programming 3. Apply Important
To model a patient care process 3. Apply Important
To understand and evaluate the performance of healthcare processes 2. Understand Essential
To apply decision support methods for healthcare logistics and personnel planning 3. Apply Essential
To analyze the quality of solutions for re-engineering of healthcare systems 4. Analyse Essential
To analyze healthcare data prior to modeling 4. Analyse Essential

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: % Project submission: %
Individual oral exam: % Group presentation: %
Individual presentation: % Group practical exercise: %
Individual practical exercise: % Group report: %
Individual report: %
Other(s): %

Programme and content

Type of teaching activity Content, sequencing and organisation
Course

Contenu, séquencement et organisation

Healthcare data analytics

Speaker : Julia Fleck Duration : 12h

Course description:

This course presents important issues in the healthcare data analytics pipeline. The following topics will be covered:

- Methods to examine and describe healthcare data: dimensionality reduction and automatic classification techniques;

- Methods to prepare healthcare data for subsequent use: feature selection techniques and how to deal with missing data;

- Methods to use healthcare data for predictive purposes.

Course

Organization and control of patient pathway and healthcare systems

Speaker : Xiaolan Xie Duration : 12h

Course description:

This course presents the main issues encountered in the organization and control of healthcare systems. The following areas are examined: activity planning, human resource management and healthcare supply chain. The main topics covered are:

- Healthcare organization environment: demand forecasting, organization of hospitals, location of services.

- Activity planning: operating theatre management, programmed activities management, surgery scheduling and re-scheduling, healthcare stay planning, appointment planning with emergency constraints.

- Human resource management: medical team conception, healthcare resource planning, transportation and supply chain management for home care.

Course

Home healthcare and logistics

Speaker : Thierry Garaix Duration : 12h

Course description:

 This course presents formal methods to better model and control home healthcare systems and associated areas of interest, such as logistics, workforce scheduling at home, and economic balance of home healthcare structures.

Supervised studies

Performance evaluation of healthcare systems

Speaker : Vincent Augusto Duration : 12h

Course description: This course presents engineering and re-engineering management tools for healthcare systems. The following problems are examined: resource sizing using stochastic models, healthcare production system sizing and benchmarking, performance evaluation and control. The main topics covered are:

- Engineering and re-engineering of healthcare production systems.

- Modeling and simulation of complex healthcare systems.

- Human resource sizing using simulation.

- Benchmarking and performance evaluation of healthcare product systems using Data Envelopment Analysis (DEA).

- Control of healthcare systems taking into account T2A, performance evaluation, and continuous quality improvement.