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1.
Stud Health Technol Inform ; 306: 318-325, 2023 Aug 23.
Artículo en Inglés | MEDLINE | ID: mdl-37638931

RESUMEN

This paper presents elements of user-centered design and prototyping of a serious game. Produced within the framework of the SG-HANDI project, the serious game aims to raise awareness about integration, prevention of professional displacement and job retention of people with disabilities. This serious game is developed on an interactive RFID tabletop with tangible objects. It is intended to be used in a collective context involving one or more facilitators specialized in employment and disability, as well as the company's stakeholders to be made aware of the issue.


Asunto(s)
Empleo , Diseño Centrado en el Usuario , Humanos
2.
J Med Syst ; 38(9): 107, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-25053208

RESUMEN

Efficient management of patient flow (demand) in emergency departments (EDs) has become an urgent issue for many hospital administrations. Today, more and more attention is being paid to hospital management systems to optimally manage patient flow and to improve management strategies, efficiency and safety in such establishments. To this end, EDs require significant human and material resources, but unfortunately these are limited. Within such a framework, the ability to accurately forecast demand in emergency departments has considerable implications for hospitals to improve resource allocation and strategic planning. The aim of this study was to develop models for forecasting daily attendances at the hospital emergency department in Lille, France. The study demonstrates how time-series analysis can be used to forecast, at least in the short term, demand for emergency services in a hospital emergency department. The forecasts were based on daily patient attendances at the paediatric emergency department in Lille regional hospital centre, France, from January 2012 to December 2012. An autoregressive integrated moving average (ARIMA) method was applied separately to each of the two GEMSA categories and total patient attendances. Time-series analysis was shown to provide a useful, readily available tool for forecasting emergency department demand.


Asunto(s)
Aglomeración , Servicio de Urgencia en Hospital/estadística & datos numéricos , Planificación en Salud/métodos , Necesidades y Demandas de Servicios de Salud , Servicio de Urgencia en Hospital/organización & administración , Francia , Humanos , Factores de Tiempo
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