OPTIMIZATION IN HEALTH CARE

Description of research

Driven by public opinion, increased health expenditures, an ageing population, and long waiting lists, a flood of changes in the healthcare system has been set in motion to try to make the Dutch hospitals more efficient. The challenge for hospital management is to simultaneous optimize the quality of care, costs and patient lead-time.

This research focuses on planning and scheduling of a given demand of elective patients within a fixed period of time taking into account the uncertainty of the durations of the individual treatments, the dependency of consecutive treatments of a single patient, the limitations given by scare resources, and the uncertainty around emergency patients arriving in the future. Especially, the strong dependencies between consecutive treatments and the hard constraints on real-time changes make that the resulting optimization problems are quite different compared to existing models for scheduling or project planning, and ask for new solution approaches.

Advisor(s)

Prof. dr. J.L. Hurink

Dr. ir. E.W. Hans

Duration

2009-2013

Project

Logistical Design for Optimal Care - LogiDOC

Funding institution

STW

Strategic Research Orientation

Industrial Engineering & ICT

Links to relevant web pages:

http://wwwhome.math.utwente.nl/~essenjt/

http://www.utwente.nl/ewi/dmmp/people/phd/theresiavanessen/

http://www.choir.utwente.nl/

http://www.choir.utwente.nl/projecten/LogiDOC

Pictures

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Home CTIT symposium 2013 About CTIT News NIRICT Research Meet the PhDs Working at CTIT Internal Information Conferences Open Calls (updated May 3, 2013) Library and Videos Knowledge Transfer Links Sitemap Search	OPTIMIZATION IN HEALTH CARE Description of research Driven by public opinion, increased health expenditures, an ageing population, and long waiting lists, a flood of changes in the healthcare system has been set in motion to try to make the Dutch hospitals more efficient. The challenge for hospital management is to simultaneous optimize the quality of care, costs and patient lead-time. This research focuses on planning and scheduling of a given demand of elective patients within a fixed period of time taking into account the uncertainty of the durations of the individual treatments, the dependency of consecutive treatments of a single patient, the limitations given by scare resources, and the uncertainty around emergency patients arriving in the future. Especially, the strong dependencies between consecutive treatments and the hard constraints on real-time changes make that the resulting optimization problems are quite different compared to existing models for scheduling or project planning, and ask for new solution approaches. Advisor(s) Prof. dr. J.L. Hurink Dr. ir. E.W. Hans Duration 2009-2013 Project Logistical Design for Optimal Care - LogiDOC Funding institution STW Strategic Research Orientation Industrial Engineering & ICT Links to relevant web pages: http://wwwhome.math.utwente.nl/~essenjt/ http://www.utwente.nl/ewi/dmmp/people/phd/theresiavanessen/ http://www.choir.utwente.nl/ http://www.choir.utwente.nl/projecten/LogiDOC Pictures