an agent based analysis approach to resource allocation in the dutch youth health care system n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM PowerPoint Presentation
Download Presentation
AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM

Loading in 2 Seconds...

play fullscreen
1 / 19

AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM - PowerPoint PPT Presentation


  • 154 Views
  • Uploaded on

AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM. Erik Giesen 1 , Wolfgang Ketter 2 , Rob Zuidwijk 2 1 INITI8, 2 Erasmus University Rotterdam, 14-12-2009. NEWSLINES. Rouvoet admits; waiting lists stay (NRC Handelsblad, 30 October 2009)

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM' - dung


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
an agent based analysis approach to resource allocation in the dutch youth health care system

AN AGENT-BASED ANALYSIS APPROACH TO RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SYSTEM

Erik Giesen1, Wolfgang Ketter2, Rob Zuidwijk2

1INITI8, 2Erasmus University Rotterdam, 14-12-2009

newslines
NEWSLINES
  • Rouvoet admits; waiting lists stay (NRC Handelsblad, 30 October 2009)
  • Youth health care is eight million short (Parool, 6 November 2009)
  • Gelderland spends 150 million on youth health care in 2010 (Locourant.nl, 25 November 2009)
  • New youth health care farm opens with waiting list (PZC, 12 November 2009)

An agent-based analysis approach to resource allocation in the Dutch youth health care system

context
CONTEXT

Care provider A

Care provider A

Care provider A

Care provider B

Care provider B

Care provider B

Care provider C

Care provider C

Care provider C

Care provider D

Care provider D

Care provider D

Province

Province

Province

Institution for youth health care

Institution for youth health care

Institution for youth health care

Government

An agent-based analysis approach to resource allocation in the Dutch youth health care system

context1
CONTEXT

MOTIVATION:

  • Lack of scientific research for resource allocation in health care taking into account the rich level of complexity in waiting line behavior by incorporating multi-agent theory based on an extensive amount of real-world data.

Child allocation

Care provider A

Care provider B

Care provider C

Care provider D

Institution for youth health care

An agent-based analysis approach to resource allocation in the Dutch youth health care system

research objective
RESEARCH OBJECTIVE

OBJECTIVE

Improve the child allocation process

between:

      • the institution for youth health care
      • the associated care providers

by:

      • designing an experimental platform

based on:

      • multi agent simulation
      • real world data

MAIN QUESTIONS

  • What are relevant characteristics of the child allocation process?
  • How can a queue management in the youth care sector be organised?
  • What should a simulation model of the youth care sector look like?
  • Which factors influence the choice for an optimal queue management philosophy?

An agent-based analysis approach to resource allocation in the Dutch youth health care system

methodology
METHODOLOGY

BLOCK DIAGRAM

SIMULATION

Sources

Input analyses

Modeling

Output analyses

Reporting

Key Performance Indicators

Allocation behavior

Expert

Interviews

Simulation model

Experiments

Results

Case selection behavior

Data analyses

Real world data

Validation

An agent-based analysis approach to resource allocation in the Dutch youth health care system

queue management strategies in the youth care sector
QUEUE MANAGEMENT STRATEGIES IN THE YOUTH CARE SECTOR

Push to decentralized queues

Push from a centralized queue

1

2

Free

Free

Push

Push

4

3

Pull to decentralized queues

Pull from centralized queue

Pull

Pull

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Many factors including:
    • a withdrawal and return mechanism
    • a non-stationary Poisson arrival process
    • single child and group based treatment
    • age based in/exclusion filters
    • geographical bounded allocation
    • but most importantly…
      • a preference algorithm to include a care provider’s case preference

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process1
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Real world case selection at the care providers based on:
    • Characteristics of care position
    • Actual waiting time
    • Difficulty of a case expressed as expected treatment time

Age related dependencies

Queue of waiting cases

Potential cases

Case selection for treatment

Political influence

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process2
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Indifference curves for the strategic decision algorithm

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process3
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Indifference curves for the linear approach

Beta = 0 BCEG

Beta = 0,1 BCEG

Beta = 0,2 CBEG

Beta = 0,3 CBEG

Beta = 0,4 CEBG

Beta = 0,5 CEGB

Beta = 0,6 CEGB

Beta = 0,7 CEGB

Beta = 0,8 CEGB

Beta = 0,9 CEGB

Beta = 1,0 CEGB

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process4
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Indifference curves for the random approach

Any order of children is possible!

An agent-based analysis approach to resource allocation in the Dutch youth health care system

factors of influence for chosing the optimal allocation strategy
FACTORS OF INFLUENCE FOR CHOSING THE OPTIMAL ALLOCATION STRATEGY

MEASUREMENT

  • Average waiting time performance over whole system (horizontal)
  • Average waiting time performance over top 5% waiting cases (vertical)

An agent-based analysis approach to resource allocation in the Dutch youth health care system

conclusions contribution
CONCLUSIONS & CONTRIBUTION

CONCLUSIONS

  • The use of a simplified decision algorithm in a agent-based simulation can lead to very different and misleading outcomes and therefore conclusions of a research.
  • While a higher level of unfairness increases throughput, it significantly decreases the performance of the whole system regarding waiting time.

CONTRIBUTION

  • Successful implementation of an agent-based simulation model in a real world setting with real world data
  • A simulation platform including a high level of complexity for studying waiting line scenarios in youth health care

An agent-based analysis approach to resource allocation in the Dutch youth health care system

future work
FUTURE WORK

FUTURE WORK:

  • Analysis on different regional configurations of the youth care system
  • Increase complexity of care profiles to meet real world behaviour
  • Development of a guide towards optimal system design in form of a flowchart

Region

Dense?

Fairness?

Providers?

System Y

System Z

System X

An agent-based analysis approach to resource allocation in the Dutch youth health care system

initi8 erasmus university rotterdam 14 12 2009

Erik Giesen Wolgang Ketter Rob ZuidwijkINITI8 Erasmus University Erasmus UniversityGiesen@initi8.nl WKetter@rsm.nl RZuidwijk@rsm.nl

INITI8, Erasmus University Rotterdam, 14-12-2009

simulation setup
SIMULATION SETUP

An agent-based analysis approach to resource allocation in the Dutch youth health care system

relevant characteristics of the resource allocation process5
RELEVANT CHARACTERISTICS OF THE RESOURCE ALLOCATION PROCESS
  • Indifference curves for the linear approach – as used in the paper

Beta = 0 GECB

Beta = 0,1 GECB

Beta = 0,2 GCEB

Beta = 0,3 CGEB

Beta = 0,4 CGEB

Beta = 0,5 CGEB

Beta = 0,6 CGEB

Beta = 0,7 CEGB

Beta = 0,8 CEGB

Beta = 0,9 CEGB

Beta = 1,0 CEGB

An agent-based analysis approach to resource allocation in the Dutch youth health care system