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Rebecca Randell

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Professor in Digital Innovations in Healthcare

University of Bradford

United Kingdom

Research Interests

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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: Open

EVolution of a patiEnt-REported symptom-based risk stratification sySTem to redesign the suspected Head and Neck cancer referral pathway (EVEREST-HN)

Open Date: 2022-09-01

Close Date: 2028-08-31

Grant: Close

Evaluating the safety and patient impact of an Artificial Intelligence Command Centre in the UK National Health Service

Open Date: 2021-03-01

Close Date: 2022-08-31

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

Articles (25)

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Collaborators (24)

Patrick Doherty

Chair in Cardiovascular Health

University of York

UNITED KINGDOM

Rebecca Randell

Research Interests

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About

Recent Grants

Articles (25)

Evolution of Chatbots as an Educational and Supportive Digital Intervention for Family Caregivers of People With Dementia: Protocol for a Systematic Integrative Review

Electronic Patient Records, Real-Time Clinical Documentation and Burden: An Umbrella Review

Frameworks for Digital Health Engagement: A Scoping Review Protocol

Correction: Challenges in Developing a Patient-Reported Symptom-Based Risk Stratification System for Suspected Head and Neck Cancer: Protocol for a Qualitative Case Study

Qualitative study to inform the design and contents of a patient-reported symptom-based risk stratification system for patients referred from primary care on a suspected head and neck cancer diagnostic pathway

Implementing recommended falls prevention practices for older patients in hospitals in England: a realist evaluation

Challenges in Developing a Patient-Reported Symptom-Based Risk Stratification System for Suspected Head and Neck Cancer: Protocol for a Qualitative Case Study

Co-design of clinician-facing report and implementation pathway for a digital questionnaire for reporting head and neck cancer symptoms

Electronic Record Systems in Intensive Care Units During Covid-19: A Scoping Review

Practices of falls risk assessment and prevention in acute hospital settings: a realist investigation

Qualitative study exploring the design of a patient-reported symptom-based risk stratification system for suspected head and neck cancer referrals: protocol for work packages 1 and 2 within the EVEREST-HN programme

Talking about falls: a qualitative exploration of spoken communication of patients’ fall risks in hospitals and implications for multifactorial approaches to fall prevention

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study

Contextual Barriers to Implementing Open-Source Electronic Health Record Systems for Low- and Lower-Middle-Income Countries: Scoping Review

The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation

What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation

How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study

The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol

Design and evaluation of an interactive quality dashboard for national clinical audit data: a realist evaluation

Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies

What supports and constrains the implementation of multifactorial falls risk assessment and tailored multifactorial falls prevention interventions in acute hospitals? Protocol for a realist review

How do team experience and relationships shape new divisions of labour in robot-assisted surgery? A realist investigation

Effects of interorganisational information technology networks on patient safety: a realist synthesis

The effects of interoperable information technology networks on patient safety: a realist synthesis

Collaborators (24)

Patrick Doherty

Vinidh Paleri

Muhammad Faisal

Peter Gardner

Ana Barbosa

Sarah Skyrme

Natasha Alvarado

Sarath Rathnayake

Dawn Dowding

Karen Bloor

Silviya Nikolova

Joshua Pink

Clare Schilling

John C Hardman

Wenhong Zhao

Owen Johnson

Robert West

Carolyn McCrorie

Ciarán D. McInerney

Joanne Greenhalgh

Jonathan Benn

Ian Kellar

Mai Elshehaly

Carl Thompson

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