Rebecca Randell
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Professor in Digital Innovations in Healthcare
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About
Rebecca Randell is a Professor in Digital Innovations in Healthcare at the University of Bradford, UK. Her research focuses on the implementation of artificial intelligence in healthcare settings, patient-reported outcomes, and decision support systems affecting clinical performance. Recent publications include studies on risk stratification for cancer patients, the role of command centres in the NHS, and barriers to electronic health record systems in low-income countries.
Recent Grants
Grant: Close
Practices of falls risk assessment and prevention in acute hospital settings: A realist investigation
Open Date: 2020-07-01
Close Date: 2022-06-30
Grant: Close
Do Networked Information Technologies Improve Patient Safety? A Realist Synthesis
Open Date: 2018-02-01
Close Date: 2019-07-31
Grant: Close
QualDash: Designing and evaluating an interactive dashboard to improve quality of care
Open Date: 2017-10-01
Close Date: 2020-12-31
Grant: Close
Information Systems: Monitoring and Managing from Ward to Board
Open Date: 2014-07-01
Close Date: 2016-12-31
Grant: Close
Information Systems: Monitoring and Managing from Ward to Board
Open Date: 2014-07-01
Close Date: 2016-12-31
Articles (17)
The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service
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
Collaborators (17)
Patrick Doherty
University of York
Vinidh Paleri
Professor of Robotic and Endoscopic Head and Neck Surgery
Institute of Cancer Research
Peter Gardner
Professor of Healthcare Quality and Safety
University of Bradford
Sarah Skyrme
The University of Manchester
Dawn Dowding
The University of Manchester
Karen Bloor
Professor
University of York
Silviya Nikolova
University of Leeds
John C Hardman
Head & Neck Fellow
Royal Adelaide Hospital
Owen Johnson
University of Leeds
Robert West
Professor of Biostatistics
University of Leeds
Carolyn McCrorie
University of Huddersfield
Ciarán D. McInerney
University of Sheffield
Joanne Greenhalgh
University of Leeds
Jonathan Benn
Associate Professor in Healthcare Quality and Safety
University of Leeds
Ian Kellar
Professor of Health Psychology
University of Sheffield
Mai Elshehaly
University College London
Carl Thompson
Professor
University of Leeds

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