Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lyndsay Howitt"'
Autor:
Lyndsay Howitt, Greeshma Jacob, Giulia Zucal, Judy Smith, Rhonda Crocker Ellacott, Shirlee Sharkey
Publikováno v:
Healthcare, Vol 12, Iss 18, p 1814 (2024)
Persons with complex care needs that arise due to chronic health conditions, serious illness, or social vulnerability are at increased risk of adverse health outcomes during transitions in care. To inform the development of a best practice guideline,
Externí odkaz:
https://doaj.org/article/c7c4d87ba46340c5a74e2f81bfe0182d
Autor:
Christine Buchanan, Megan Bamford, Tracie Risling, Richard Booth, Rita Wilson, M Lyndsay Howitt
Publikováno v:
JMIR Nursing
Background Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will
Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review (Preprint)
Autor:
Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford
BACKGROUND Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dde89a0362dcd50bb1003cf7e3ca7a4a
https://doi.org/10.2196/preprints.23939
https://doi.org/10.2196/preprints.23939
Autor:
Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford
BACKGROUND It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b72495bd22016cc32baa3554c37e04f
https://doi.org/10.2196/preprints.23933
https://doi.org/10.2196/preprints.23933
Autor:
Megan Bamford, Richard Booth, Tracie Risling, M Lyndsay Howitt, Christine Buchanan, Rita Wilson
Publikováno v:
JMIR Research Protocols
JMIR Research Protocols, Vol 9, Iss 4, p e17490 (2020)
JMIR Research Protocols, Vol 9, Iss 4, p e17490 (2020)
Background It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital
Autor:
Christine Buchanan, Megan Bamford, Rita Wilson, Tracie Risling, M Lyndsay Howitt, Richard Booth
Publikováno v:
JMIR Nursing
Background It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potentia