Jonathan Benn
Associate Professor in Healthcare Quality and Safety
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About
Jonathan Benn is an Associate Professor in Healthcare Quality and Safety at the University of Leeds, UK. His research focuses on patient care and safety in healthcare systems, particularly through the implementation of innovative technologies and feedback mechanisms. Recent publications include studies on artificial intelligence in healthcare, patient flow management, and the deprescribing process for older adults. His work aims to enhance the quality of care and safety within the National Health Service.
Articles (13)
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2023
In the last 6 years, hospitals in developed countries have been trialling the use of command centres for improving organizational efficiency and patient care. However, the impact of these command centres has not been systematically studied in the past. It is a retrospective population-based study. Participants were patients who visited the Bradford Royal Infirmary hospital, Accident and Emergency (A&E) Department, between 1 January 2018 and 31 August 2021. Outcomes were patient flow (measured as A&E waiting time, length of stay, and clinician seen time) and data quality (measured by the proportion of missing treatment and assessment dates and valid transition between A&E care stages). Interrupted time-series segmented regression and process mining were used for analysis. A&E transition time from patient arrival to assessment by a clinician marginally improved during the intervention period; there was a decrease of 0.9 min [95% confidence interval (CI): 0.35–1.4], 3 min (95% CI: 2.4–3.5), 9.7 min (95% CI: 8.4–11.0), and 3.1 min (95% CI: 2.7–3.5) during ‘patient flow program’, ‘command centre display roll-in’, ‘command centre activation’, and ‘hospital wide training program’, respectively. However, the transition time from patient treatment until the conclusion of consultation showed an increase of 11.5 min (95% CI: 9.2–13.9), 12.3 min (95% CI: 8.7–15.9), 53.4 min (95% CI: 48.1–58.7), and 50.2 min (95% CI: 47.5–52.9) for the respective four post-intervention periods. Furthermore, the length of stay was not significantly impacted; the change was −8.8 h (95% CI: −17.6 to 0.08), −8.9 h (95% CI: −18.6 to 0.65), −1.67 h (95% CI: −10.3 to 6.9), and −0.54 h (95% CI: −13.9 to 12.8) during the four respective post-intervention periods. It was a similar pattern for the waiting and clinician seen times. Data quality as measured by the proportion of missing dates of records was generally poor (treatment date = 42.7% and clinician seen date = 23.4%) and did not significantly improve during the intervention periods. The findings of the study suggest that a command centre package that includes process change and software technology does not appear to have a consistent positive impact on patient safety and data quality based on the indicators and data we used. Therefore, hospitals considering introducing a command centre should not assume there will be benefits in patient flow and data quality.
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Year:
2020
Collaborators (15)
Gianpaolo Fusari
Head of Products & Platforms (a.i.)
Royal College of Art
Clifford Shelton
University of Lancaster
Judith Dyson
Professor Implementation Science
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Beth Fylan
Associate Professor in Patient Safety
University of Bradford
Jonathan Evans
University of Bristol
Owen Johnson
University of Leeds
Gillian Janes
Professor of Nursing and Quality Improvement
Anglia Ruskin University
Michael R Whitehouse
-
Rebecca Randell
Professor in Digital Innovations in Healthcare
University of Bradford
Carolyn McCrorie
University of Huddersfield
Ciarán D. McInerney
University of Sheffield
Caitlin Wilson
University of Hertfordshire
Jonathan Silcock
Senior Lecturer in Pharmacy Practice
University of Bradford
Rebecca Lawton
Professor, Psychology of Healthcare
University of Leeds
Bryony Franklin
University College London
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