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Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable inventory approach.

Edilson F Arruda1,2, Paul Harper1, Tracey England1

  • 1School of Mathematics, Cardiff University, Senghennydd Rd, Cardiff CF24 4AG, UK.

IMA Journal of Management Mathematics
|March 22, 2021
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Summary

This study introduces a new framework to optimize diagnostic test capacity in cancer care by analyzing referral demand. It helps health services align diagnostic test supply with patient needs for better efficiency.

Keywords:
capacity planninghealthcare modellinginventory controlqueuing systems

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Area of Science:

  • Operations Research
  • Health Systems Management
  • Oncology

Background:

  • Cancer diagnostic pathways face challenges in managing fluctuating referral demands from various specialties.
  • Effective capacity planning for diagnostic tests is crucial for timely cancer care and resource optimization.

Purpose of the Study:

  • To propose a novel framework for planning diagnostic test capacity in cancer pathways.
  • To develop an analytic tool for assessing aggregate demand and optimizing resource allocation.

Main Methods:

  • Modeling the system as a perishable inventory problem using generalized G/D/C queuing models.
  • Recursively assessing daily demand for diagnostic tests considering referral and patient-specific test distributions.
  • Allowing capacity to vary as a random variable adjusted by performance measures.

Main Results:

  • The framework provides a method to model and solve diagnostic test capacity planning as a queuing problem.
  • Demonstrated applicability using lung cancer referrals from the UK's National Health Service.
  • Offers recommendations for aligning diagnostic test capacity and demand.

Conclusions:

  • The proposed framework enables effective and efficient capacity planning for cancer diagnostic tests.
  • The approach supports public health and cancer services in resource management.
  • This method can improve the overall efficiency of cancer diagnostic services.