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PREPLEX

An algorithm to automate the balancing of supply-demand and optimize the management of resources in the outpatient department of a hospital

Hospital Universitario del Sureste

The ‘Hospital Universitario del Sureste’, is a public hospital within the Autonomous Community of Madrid in Spain that provides primary and secondary care for around 200.000 people. Its sphere of influence covers both big towns and small rural areas. The whole region has suffered a massive increase in population in recent years (the projected number was around 170.000 by 2025 when the hospital was built) so the resources are always strained.

The Hospital Information System (HIS) currently used is Selene, a solution developed by CompuGroup Medical. Everything related to management of supply and demand in the outpatient department is stored within this system, so only one data source is needed for the purpose of solving the challenge.

Our organization has a strong data engineering department with direct access to the system’s database and sound knowledge of the data models so access to the information should not be a problem.

PREPLEX

As in many other healthcare organizations around Europe, the demand in our outpatient department is structured around a system of waiting lists implemented using slots to help manage the available resources. This is how it works:

  • The hospital has resources (like ultrasound scanners).
  •  Each resource has a schedule composed of slots.
  • Every slot is predefined to accommodate only certain healthcare services (like abdominal echography) and priorities (urgent, preferential and normal).
  • Physicians make service requests for an available slot against the resources.
  • Each service request includes parameters like the requested healthcare service, priority and indication date.
  • Once the service request has been processed, an appointment is created occupying a slot.

It is very important to stress that these schedules and slots are predefined for a certain period of time before any appointment is even admitted. The reason behind this is that we are not talking about a pure first-come, first-served basis. We want to segment patients into different waiting lists, each with different waiting times as not every healthcare service and priority require the same response times.

 

Applications closed on the 24th of January 2024 at 17:00 CET.

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