Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Monika Nair"'
Autor:
T. K. Kavya, B. B. Monika Nair
Publikováno v:
RUDN Journal of Studies in Literature and Journalism, Vol 29, Iss 1, Pp 89-102 (2024)
Literature and journalism are two field of study that has been a never-ending discussion throughout the history. The two fields, regardless of being considered as separate entity, has its association in the course. This paper dwells into the two fiel
Externí odkaz:
https://doaj.org/article/a64984ead1c24c13987a2e8affe11775
Autor:
Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Nygren
Publikováno v:
JMIR Research Protocols, Vol 13, p e52744 (2024)
BackgroundCare for patients with heart failure (HF) causes a substantial load on health care systems where a prominent challenge is the elevated rate of readmissions within 30 days following initial discharge. Clinical professionals face high levels
Externí odkaz:
https://doaj.org/article/925acdba1bf14f138f2b203d791cd92e
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0305949 (2024)
Implementation of artificial intelligence systems for healthcare is challenging. Understanding the barriers and implementation strategies can impact their adoption and allows for better anticipation and planning. This study's objective was to create
Externí odkaz:
https://doaj.org/article/b49815b929f647b98628123b29563ae4
A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project
Autor:
Per Nilsen, Petra Svedberg, Margit Neher, Monika Nair, Ingrid Larsson, Lena Petersson, Jens Nygren
Publikováno v:
JMIR Research Protocols, Vol 12, p e50216 (2023)
BackgroundArtificial intelligence (AI) has the potential in health care to transform patient care and administrative processes, yet health care has been slow to adopt AI due to many types of barriers. Implementation science has shown the importance o
Externí odkaz:
https://doaj.org/article/d4ec9d21806d45e1bd62d95841d27ec5
Publikováno v:
JMIR Formative Research, Vol 7, p e47335 (2023)
BackgroundArtificial intelligence (AI) applications in health care are expected to provide value for health care organizations, professionals, and patients. However, the implementation of such systems should be carefully planned and organized in orde
Externí odkaz:
https://doaj.org/article/9d464bbf1b0447da8ababd8c3961780b
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 10, p e40238 (2022)
BackgroundArtificial intelligence (AI) is often heralded as a potential disruptor that will transform the practice of medicine. The amount of data collected and available in health care, coupled with advances in computational power, has contributed t
Externí odkaz:
https://doaj.org/article/f3fce1187b6a408fb1d2b6e30d2d8798
Akademický článek
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Autor:
Amira Soliman, Monika Nair, Marcus Petersson, Lina Lundgren, Petra Dryselius, Ebba Fogelberg, Omar Hamed, Kobra Etminani, Jens Nygren
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The evolution of clinical decision support (CDS) tools has been improved by usage of new technologies, yet there is an increased need to develop user-friendly, evidence-based, and expert-curated CDS solutions. In this paper, we show with a use-case h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee72685904137d9494f9c34a77170f0
https://doi.org/10.3233/shti230204
https://doi.org/10.3233/shti230204
Autor:
Per Nilsen, Julie Reed, Monika Nair, Carl Savage, Carl Macrae, James Barlow, Petra Svedberg, Ingrid Larsson, Lina Lundgren, Jens Nygren
Publikováno v:
Frontiers in Health Services. 2
IntroductionArtificial intelligence (AI) is widely seen as critical for tackling fundamental challenges faced by health systems. However, research is scant on the factors that influence the implementation and routine use of AI in healthcare, how AI m
BACKGROUND Artificial Intelligence (AI) is often heralded as a potential disruptor that will transform the way we do medicine. The amount of data collected and available in health care, coupled with advances in computational power, have contributed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3eb98e0988c0b694c0792f4cd05ab23
https://doi.org/10.2196/preprints.40238
https://doi.org/10.2196/preprints.40238