Meet the Computer Aided Risk Scoring Systems team

Working in York teaching Hospitals NHS Foundation Trust. Renal Physician. Deputy Medical Director. Chief Clinical Information Officer. Interested in quality and safety in healthcare, human factors design and the use of IT in healthcare. Member of the Q community.

Andy has a Diploma of the College of Radiographers (DCR(R)), a BSc(Hons.) in physics and Masters degrees in computational physics and medical statistics. He worked at the University of Bradford for over 20 years, teaching medical imaging physics and technology, radiological protection, quantitative research methods, medical statistics and research ethics, before taking up a Senior Lecturer post at University College Cork in September 2018. As a medical statistician he has been involved in medical/health research in a wide range of medical, biomedical and health disciplines, with over 100 peer-reviewed publications in areas including general medicine, orthopaedic surgery, renal medicine, haematology, radiology/radiography, physiotherapy, pharmacy, optometry, biomechanics, laboratory-based cancer research, nursing/midwifery and care of the elderly. He is currently a Co-Investigator on a £1m MRC grant investigating a novel biosensor device for determination of correct positioning of naso-gastric tubes.

Muhammad Faisal is Senior Research Fellow in Biostatistics at University of Bradford. His research expertise lies in development and external validation of clinical prediction models, working with Big Health Data. He has been involved in the linkage of large novel data sets such as the Born in Bradford research data linkage with primary and secondary care data. Currently, he is working on a variety of projects that deal with applied statistical such as developing computer aided-risk score for sepsis (CARS) and mortality (CARM and bioinformatics challenges such as exploring ‘spelling mistake’ at DNA level in Born in Bradford (BiB) participants with Gestational Diabetes Mellitus (GDM) using exome sequencing data. He has a strong analytical and programming skills in R and Stata. Muhammad is also involved in establishing an NHS-R community to exploit the power of R for the NHS that is funded by The Health Foundation.

Divisional lead for nursing School of Health Sciences, Division of Nursing, City, University of London

Judith joined the Improvement Academy in June 2014 working as an Academic Improvement Fellow for half a day a week supporting front line teams in applying of behaviour change techniques to support best practice with regard to patient safety.

A qualified General and Mental Health Nurse with a Masters degree in Public Health and a PhD investigating the use of psychological theory in influencing the adoption of best hand hygiene practice by health care practitioners Judith is Senior Lecturer Implementation Science at the University of Hull. Judith’s research interests include behavioural psychology, the implementation of evidence based practice and using psychological theory to change behaviour.

Dr Claire Marsh leads Patient & Public Engagement (PPE) work in the Improvement Academy, supporting the integration of patients’ and public perspectives into improvement projects in the region.

Claire has a PhD in action research as a strategy for organisational change in the NHS, and a strong commitment to involvement of all interested parties in health service development (including staff, patients and the public in partnership with research & improvement teams).

Claire also works as a Senior Research Fellow for the Yorkshire Quality & Safety Team, currently contributing to an NIHR funded* action research study with staff and patients from 3 Trusts in Yorkshire, to develop innovative approaches to handling and responding to patient feedback on experience of care in hospitals.

*Health Services & Delivery Research Programme

Professor Mohammed A Mohammed is an academic with extensive experience of applied health services research, including quality of care, patient safety and improvement science. Mohammed has 90+peer reviewed publications, including landmark papers in the Lancet (on understanding variation in healthcare), BMJ (on bias in hospital mortality statistics), evaluation of a care bundle (JAMA Surgery) and a prize-winning study that developed an electronic frailty index for primary care (Age and Ageing).

Mohammed led the development of the first primary care mortality monitoring system (BJGP) and was an expert witness to the Shipman Inquiry (BMJ). His current research projects include the development of automated risk equations for use in hospitals (BMJOpen).

As academic director of the YH-AHSN and Improvement Academy, Mohammed has delivered scores of highly rated courses on variation, systems thinking, improvement science and mortality statistics to senior and front-line clinical staff in the NHS over the last ten years.