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Hip Fracture Patient Pathways and Agent-based Modelling

Alison N. O'Connor, Stephen E. Ryan, Gauri Vaidya, Paul Harford, Meghana Kshirsagar

TL;DR

An ongoing project that aims to optimise healthcare resources using agent-based simulations using agent-based simulations to optimise patient flow without impacting day-to-day healthcare provision is outlined.

Abstract

Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work we outline an ongoing project that aims to optimise healthcare resources using agent-based simulations.

Hip Fracture Patient Pathways and Agent-based Modelling

TL;DR

An ongoing project that aims to optimise healthcare resources using agent-based simulations using agent-based simulations to optimise patient flow without impacting day-to-day healthcare provision is outlined.

Abstract

Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work we outline an ongoing project that aims to optimise healthcare resources using agent-based simulations.

Paper Structure

This paper contains 5 sections, 2 figures.

Figures (2)

  • Figure 1: Infographic outlining machine learning model selection and assessment of actionable insights.
  • Figure 2: Pipeline of tools investigated in this research.