Palmer, R;
Utley, M;
(2017)
Understanding patient flow within community healthcare.
Presented at: Health Service Research UK 2017.
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Abstract
In recent decades, community services have been at the forefront of healthcare policy around the world, notably within the NHS Five Year Forward Plan. A stand out challenge for this sector is how services may be organised to provide co-ordinated care given their physical distribution, patients using multiple services, increased volume of referrals and differing patient needs. With a wealth of data available, accessible analysis and collaborative research are key in addressing this challenge. We have worked alongside the North East London Foundation Trust (NELFT) to understand the dynamics of community referrals through novel visualisations of referral data. These methods help researchers and service managers to investigate questions that are otherwise difficult to answer from raw data. The aims of this work were to: understand this complex system, explore concurrent uses of multiple services, and identify common patterns of referrals. Each map focuses on a different aspect of community referrals. Applying these methods to NELFT services, we helped inform their thinking towards the design of a single point of access (SPA) - a service for streamlining referral processes in NELFT community services. We present a selection of these maps here.
Type: | Poster |
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Title: | Understanding patient flow within community healthcare |
Event: | Health Service Research UK 2017 |
Dates: | 2017 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://hsruk.org/ |
Language: | English |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics > Clinical Operational Research Unit |
URI: | https://discovery.ucl.ac.uk/id/eprint/10081776 |
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