Rebecca Randell

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Professor in Digital Innovations in Healthcare

University of Bradford
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United Kingdom

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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

UNITED KINGDOM

Vinidh Paleri

Professor of Robotic and Endoscopic Head and Neck Surgery

Institute of Cancer Research

UNITED KINGDOM

Peter Gardner

Professor of Healthcare Quality and Safety

University of Bradford

UNITED KINGDOM

Sarah Skyrme

The University of Manchester

UNITED KINGDOM

Dawn Dowding

The University of Manchester

UNITED KINGDOM

Karen Bloor

Professor

University of York

UNITED KINGDOM

Silviya Nikolova

University of Leeds

UNITED KINGDOM

John C Hardman

Head & Neck Fellow

Royal Adelaide Hospital

AUSTRALIA

Owen Johnson

University of Leeds

UNITED KINGDOM

Robert West

Professor of Biostatistics

University of Leeds

UNITED KINGDOM

Carolyn McCrorie

University of Huddersfield

UNITED KINGDOM

Ciarán D. McInerney

University of Sheffield

UNITED KINGDOM

Joanne Greenhalgh

University of Leeds

UNITED KINGDOM

Jonathan Benn

Associate Professor in Healthcare Quality and Safety

University of Leeds

UNITED KINGDOM

Ian Kellar

Professor of Health Psychology

University of Sheffield

UNITED KINGDOM

Mai Elshehaly

University College London

UNITED KINGDOM

Carl Thompson

Professor

University of Leeds

UNITED KINGDOM
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