ORAHS2024
Abstract Submission

283. Assessing the impact of overlapping shifts in multi-appointment outpatients scheduling

Contributed abstract in session FB-5: (Multi)Appointment /2, stream Regular talks.

Friday, 11:00-12:30
Room: Room S6

Authors (first author is the speaker)

1. Marco Roma
Dipartimento di Ingegneria dell’Informazione, Università di Firenze
2. Paola Cappanera
Dipartimento di Sistemi e Informatica, University of Florence
3. Maddalena Nonato
EndIF, Universita' di Ferrara
4. Cristina Requejo
CEMAPRE/ISEG Lisbon School of Economics and Management, Universidade de Lisboa

Abstract

Most chronically ill patients affected by Non-Communicable Diseases live at home but receive treatments and consultations (services, hereafter) at a hospital. A good practice is to schedule multiple services of a same patient on the same day. Once the set of services booked for a day is defined, a centralized management of the scheduling process allows for a better use of shared resources, which have a limited availability, in terms of time, during the day. This work deals with the problem of scheduling a set of patients requiring several services on a given day, abiding by the planned availability of the hospital operators. The duration of the services is given, and they are partitioned according to their type (the required medical specialty). Operators are likewise partitioned, and each operator can deliver all and only the tasks of the type they belong to. In addition, each operator has a specific working shift, thus, no service can begin before the start of the shift of the operator it is assigned to, nor exceed its end. Services can be delivered in any order, each operator can attend one patient at a time, and each patient can receive at most one service at a time, without preemption. The objective is to maximize the number of scheduled services, weighed by their duration. This study aims to assess the impact of different patterns for operator shifts, and to compare different scenarios to evaluate the consequences of different strategic decisions.

Keywords

Status: accepted

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