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Exploring the role of digital health technologies and artificial intelligence (AI) in nurse education to support people living with chronic health conditions

School of Nursing and Midwifery | PHD

Applications are now CLOSED
Funding
Unfunded
Reference Number
NAM-CBW-0925
Application Deadline
31 January 2025
Start Date
15 September 2025

Overview

This programme of research considers the use of AI in nurse education and practice supporting people living with chronic health conditions to navigate their health using AI and / or digital technologies.

Background:
Digital health is a broad term and one that encompasses a range of different technologies. Mobile health and smart wearables are becoming increasingly used by the public to monitor lifestyle factors known to improve health such as physical activity, blood pressure, sleep etc. A recent umbrella review found the best evidence when health professions supported people with chronic conditions to use mobile health technologies. However, many health professions and /or health professions students may not feel comfortable in supporting people in this way.

Aim and objectives:
The aim of this study is to consider how digital health technologies including AI may be used to support people living with chronic conditions.

Methodology:
This will be a mixed methods study incorporating both a qualitative and quantitative component.

Expected outcomes:
The development and delivery of a digital health intervention to support health professions in promoting digital health to people living with chronic conditions.

HOW TO APPLY
Complete the online application by clicking on the APPLY NOW button.

Applicants for this course are required to upload a PDF cover letter detailing their interests and experiences related to the chosen project. This cover letter should be no less than 600 words and no more than 900 words.

Closing date: Friday 31 January 2025
Anticipated interview date: February 2025 (Date tbc)

Project Summary
Supervisor

Professor Christine Brown-Wilson

More Information

askmhls@qub.ac.uk

Research Profile


Mode of Study

Full-time: 3 years


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