Lanes, clusters, sightlines: modelling patient flow in medical clinics

Lengthy waiting times for ophthalmology appointments in the UK’s National Health Service (NHS) increased with the COVID-19 pandemic, necessitating a different approach to triaging patients safely and swiftly. Moorfields Eye Hospital NHS Trust therefore opened an additional clinic designed with a lin...

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Main Authors: Kerstin Sailer, Martin Utley, Rosica Pachilova, Ahmed Tarek Zaky Fouad, Xiaoming Li, Hari Jayaram, Paul J. Foster
Format: Article
Language:English
Published: Ubiquity Press 2025-05-01
Series:Buildings & Cities
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Online Access:https://account.journal-buildingscities.org/index.php/up-j-bc/article/view/545
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author Kerstin Sailer
Martin Utley
Rosica Pachilova
Ahmed Tarek Zaky Fouad
Xiaoming Li
Hari Jayaram
Paul J. Foster
author_facet Kerstin Sailer
Martin Utley
Rosica Pachilova
Ahmed Tarek Zaky Fouad
Xiaoming Li
Hari Jayaram
Paul J. Foster
author_sort Kerstin Sailer
collection DOAJ
description Lengthy waiting times for ophthalmology appointments in the UK’s National Health Service (NHS) increased with the COVID-19 pandemic, necessitating a different approach to triaging patients safely and swiftly. Moorfields Eye Hospital NHS Trust therefore opened an additional clinic designed with a linear spatial layout and patient flow system, which is analysed in this paper in comparison with an existing clinic. By integrating direct observations of patient flows and an architectural layout analysis based on space syntax methods with queuing simulations from operational research, the results indicate that each clinic operates in line with its spatial logic and has its advantages and disadvantages. The newly opened clinic with a lane system supports flows and coordination through sightlines between stations, whereas the existing clinic with clusters of stations compensates by enabling a more organic flow, especially in conjunction with experienced technicians, which is beneficial when the clinic becomes busy. When high patient load is simulated in the queuing model, lanes result in slightly bigger bottlenecks and longer clinic durations. An ideal allocation of the number of stations to diagnostic activities based on clusters is suggested. This work contributes to combined architectural and operations research and the understanding of routines as performative. Practice relevance By presenting the variability of diagnostic processes and ultimately their effectiveness through direct observations, this paper offers insights into the consequences of clinical design decisions normally taken by clinical teams or hospital planners with limited access to research evidence. Highlighting that both clinics have advantages and disadvantages, and suggesting principles for a better allocation and arrangement of resources (with stations in clusters, but with direct sightlines between them) can help future clinic design in ophthalmology and beyond. Other medical specialities with diagnostic procedures (such as orthopaedics, dentistry or audiology) might find the results insightful. This adds to the growing field of evidence-based design in general, and the sparse evidence base on outpatient clinics and patient flows in particular. The data are in an open-access repository for future use by clinicians, planners and academics.
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institution Kabale University
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spelling doaj-art-75e76d5644cf4a5e82879c074e6749b52025-08-20T03:44:41ZengUbiquity PressBuildings & Cities2632-66552025-05-0161201–218201–21810.5334/bc.545545Lanes, clusters, sightlines: modelling patient flow in medical clinicsKerstin Sailer0https://orcid.org/0000-0001-6066-7737Martin Utley1https://orcid.org/0000-0001-9928-1516Rosica Pachilova2https://orcid.org/0000-0002-1248-6381Ahmed Tarek Zaky Fouad3https://orcid.org/0000-0001-6815-8902Xiaoming Li4https://orcid.org/0000-0002-6228-6492Hari Jayaram5https://orcid.org/0000-0003-1998-0670Paul J. Foster6https://orcid.org/0000-0002-4755-177XBartlett School of Architecture, University College London, LondonClinical Operational Research Unit (CORU), University College London, LondonBartlett School of Architecture, University College London, LondonSchool of Architecture and Environment, University of the West of England, BristolBartlett School of Architecture, University College London, LondonNIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, LondonNIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, LondonLengthy waiting times for ophthalmology appointments in the UK’s National Health Service (NHS) increased with the COVID-19 pandemic, necessitating a different approach to triaging patients safely and swiftly. Moorfields Eye Hospital NHS Trust therefore opened an additional clinic designed with a linear spatial layout and patient flow system, which is analysed in this paper in comparison with an existing clinic. By integrating direct observations of patient flows and an architectural layout analysis based on space syntax methods with queuing simulations from operational research, the results indicate that each clinic operates in line with its spatial logic and has its advantages and disadvantages. The newly opened clinic with a lane system supports flows and coordination through sightlines between stations, whereas the existing clinic with clusters of stations compensates by enabling a more organic flow, especially in conjunction with experienced technicians, which is beneficial when the clinic becomes busy. When high patient load is simulated in the queuing model, lanes result in slightly bigger bottlenecks and longer clinic durations. An ideal allocation of the number of stations to diagnostic activities based on clusters is suggested. This work contributes to combined architectural and operations research and the understanding of routines as performative. Practice relevance By presenting the variability of diagnostic processes and ultimately their effectiveness through direct observations, this paper offers insights into the consequences of clinical design decisions normally taken by clinical teams or hospital planners with limited access to research evidence. Highlighting that both clinics have advantages and disadvantages, and suggesting principles for a better allocation and arrangement of resources (with stations in clusters, but with direct sightlines between them) can help future clinic design in ophthalmology and beyond. Other medical specialities with diagnostic procedures (such as orthopaedics, dentistry or audiology) might find the results insightful. This adds to the growing field of evidence-based design in general, and the sparse evidence base on outpatient clinics and patient flows in particular. The data are in an open-access repository for future use by clinicians, planners and academics.https://account.journal-buildingscities.org/index.php/up-j-bc/article/view/545medical clinicsspatial layoutsightlinesqueuing simulationophthalmology clinicpatient flowsoperational effectiveness
spellingShingle Kerstin Sailer
Martin Utley
Rosica Pachilova
Ahmed Tarek Zaky Fouad
Xiaoming Li
Hari Jayaram
Paul J. Foster
Lanes, clusters, sightlines: modelling patient flow in medical clinics
Buildings & Cities
medical clinics
spatial layout
sightlines
queuing simulation
ophthalmology clinic
patient flows
operational effectiveness
title Lanes, clusters, sightlines: modelling patient flow in medical clinics
title_full Lanes, clusters, sightlines: modelling patient flow in medical clinics
title_fullStr Lanes, clusters, sightlines: modelling patient flow in medical clinics
title_full_unstemmed Lanes, clusters, sightlines: modelling patient flow in medical clinics
title_short Lanes, clusters, sightlines: modelling patient flow in medical clinics
title_sort lanes clusters sightlines modelling patient flow in medical clinics
topic medical clinics
spatial layout
sightlines
queuing simulation
ophthalmology clinic
patient flows
operational effectiveness
url https://account.journal-buildingscities.org/index.php/up-j-bc/article/view/545
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