Jackie Bridges
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Jackie Bridges' research focuses on understanding and improving the health and well-being of diverse patient populations, with a particular emphasis on older adults, individuals with cancer, and those with dementia. Bridges investigates the experiences of patients and healthcare professionals within various care settings, including hospitals and care homes, examining factors that influence care quality and patient outcomes.
Bridges' work has explored self-management strategies for older individuals living with cancer and multiple chronic conditions, as well as the cultural environment of outpatient care for dementia patients undergoing cancer treatment. The research also addresses the mental health of healthcare providers, examining workplace interventions designed to improve their well-being. Additionally, Bridges has investigated the implementation of healthcare principles, such as Magnet principles, in European hospitals and the role of faculty in adopting generative artificial intelligence in nursing education.
With a substantial publication record (215 publications, 5,489 citations) and an h-index of 37, Bridges is recognized as a highly cited researcher. This body of work contributes to the understanding of health disparities, quality of life in aging populations, and the complexities of healthcare delivery and education.
Metrics
- h-index: 37
- Publications: 215
- Citations: 5,505
Selected Publications
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Self-perceived knowledge, skills, and attitude of nursing faculty on generative artificial intelligence in nursing education: A descriptive, cross-sectional study (2025)
Collaboration Network
Top Collaborators
- Self-perceived knowledge, skills, and attitude of nursing faculty on generative artificial intelligence in nursing education: A descriptive, cross-sectional study
- Self-perceived knowledge, skills, and attitude of nursing faculty on generative artificial intelligence in nursing education: A descriptive, cross-sectional study
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