dc.contributor.author | Mustafee, N | |
dc.contributor.author | Powell, JH | |
dc.contributor.author | Martin, S | |
dc.contributor.author | Fordyce, A | |
dc.contributor.author | Harper, A | |
dc.date.accessioned | 2017-07-06T08:37:28Z | |
dc.date.issued | 2017-04 | |
dc.description.abstract | Decision-making in healthcare is a complex process involving multiple stakeholders. One such stakeholder category is the intended users of the system itself – the patients. We present a study in which users use real-time hospital operations data to make attendance choices. The work was carried out with the Torbay & South Devon NHS Foundation Trust (TSDFT) and its network of Minor Injury Units (MIUs) and one Emergency Department (ED). The aim of this research was to provide information transparency on ED/MIU waiting times which would allow recipients, including, significantly, patients who are in need of urgent medical attention, to make informed decisions as to the facility that could best serve their needs. This work will contribute towards reducing pressure in ED by redistributing demand for minor ailments among the MIUs, since the MIUs have facilities for the treatment of minor injuries and the ED exists mainly for emergency and life-threating conditions. | en_GB |
dc.description.sponsorship | We would like to acknowledge the ESRC Impact Acceleration Account on Project Co-creation for the
project on “Systems Modelling and Computer Simulation of Urgent and Emergency Care in Torbay &
South Devon". | en_GB |
dc.identifier.citation | Vol. 49, Issue 8, pp. 52 - 60 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/28335 | |
dc.language.iso | en | en_GB |
dc.publisher | Society for Modeling and Simulation International | en_GB |
dc.relation.url | http://scs.org/scs-conference-proceedings-information/ | en_GB |
dc.rights | © 2017 Society for Modeling and Simulation (SCS) International | en_GB |
dc.subject | Real-time Data | en_GB |
dc.subject | Business Intelligence | en_GB |
dc.subject | Healthcare Analytics | en_GB |
dc.subject | Accident and Emergency | en_GB |
dc.subject | UK National Health Service (NHS) | en_GB |
dc.subject | NHS | en_GB |
dc.subject | Complexity in Decision Making | en_GB |
dc.title | Investigating the use of real-time data in nudging patients' Emergency Department (ED) attendance behaviour | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2017-07-06T08:37:28Z | |
dc.identifier.issn | 0735-9276 | |
dc.description | This is the author accepted manuscript. The final version is available from the Society for Modeling and Simulation International via the URL in this record. | en_GB |
dc.identifier.journal | 2017 Spring Simulation Multi-conference (SpringSim’17), 23-26 April 2017, Virginia Beach, Virginia, USA | en_GB |