The development of a new artificial
intelligence-based tool that supports health professionals caring for people
with diabetes has led to national recognition for a Northumbria University
researcher and her team.
Assistant Professor Charlotte Gordon and Ralph Holland, an Academic Technology Services’ (ATS) Analyst at
Northumbria University, were finalists in the Diabetes Nursing Awards following
the launch of a new e-learning package which focuses on diabetes care and
patient case management.
Ms Gordon and her team produced the
specialist module which uses artificial intelligence (AI) to support training on how to
carry out patient consultations, covering topics including medications, glucose
monitoring and patient education.
The diabetes module forms part of Northumbria
University’s Health and Social Practice Framework which is designed to support those already working in health and
social care with their continued professional development throughout their
careers.
It was created to help
non-specialist practitioners to enhance their abilities to care for patients
with diabetes. Students are taught by diabetes specialists and benefit from
simulated sessions that focus on behavioural changes and medication escalation
scenarios.
The in-depth AI consultation was produced to
better reflect the situations that can occur in real clinical practice as
patient care requirements change over time.
Using a specially developed script, it gives
students the chance to safely observe and interact with patients in a simulated
setting, allowing them to reflect on how they would best manage a consultation
and how different factors can impact on the care plans patients require.
The success of the module and the introduction of
the AI consultation led to Ms Gordon and Mr Holland being shortlisted for the
title of Diabetes Educator of the Year in the Diabetes Nursing Awards, which
honour those making a profound impact to the lives of individuals living with
diabetes across the UK.
Ms Gordon said: “There are a significant number
of people who are risk of, or who are already living with, diabetes. This means
that understanding the disease and the best treatment plans is essential not
only across primary care but also district nursing practice and in acute care
environments.
“The new AI consultation was developed to allow
us to employ a more engaging approach to support professionals in their ongoing
training that was reflective of what could happen in clinical practice.”
She added: “We developed the script, which is
underpinned by behavioural change theory and the use of Language Matters and
NICE guidelines, to enable the student to safely observe, interact and reflect
on how they would manage a consultation depending on the patients’ needs at
different stages. We are confident that it will result in high levels of
knowledge and insight in relation to diabetes care and patient case management
and we are delighted to have achieved recognition from our peers at the Diabetes
Nursing Awards.”
Professor Alison Machin, Head of Nursing,
Midwifery and Health at Northumbria University, said: “The e-learning package
developed by Charlotte Gordon and her team really reflects Northumbria’s
dedication to continuing to innovate how we teach and how we can make training
more accessible to the highly skilled professionals working in the sector.
“The addition of the AI patient consultation will
help to further learning and ensure our nursing and our other healthcare colleagues
leave our diabetes module with the ability to deliver the highest quality
research informed care for people living with or who are at risk of diabetes.”
The Health and Social Practice Framework was developed alongside stakeholders in the NHS Trusts, primary care
provisions and students. It offers flexibility and aims to meet learners’
professional and personal needs.
Northumbria University was recently awarded
£9 million by UK Research and Innovation to establish a Centre for Doctoral
Training in the field of Citizen-Centred AI. The centre,
which will be known as CCAI, will focus on the inclusion of citizens in the
design and evaluation of AI – helping to make the rapidly advancing technology
work for ordinary people, including how AI can be applied to the health and wellbeing of our populations.
The University is dedicated to reducing health and social inequalities,
contributing to the regional and national workforce and improving social,
economic and health outcomes for the most marginalised in society. Through its
new Centre for Health and Social Equity, Northumbria researchers will be
delivering world-leading health and social equity research and creating
innovative, evidence-based policies and data-driven solutions to bring
impactful change across the region, the UK and globally.
