Making co-design more responsible: a case study on developing an AI-based decision support system in dementia care (Preprint) DOI Creative Commons
Dirk Lukkien, Sima Ipakchian Askari, Nathalie E Stolwijk

et al.

JMIR Human Factors, Journal Year: 2024, Volume and Issue: 11, P. e55961 - e55961

Published: June 2, 2024

Emerging technologies such as artificial intelligence (AI) require an early-stage assessment of potential societal and ethical implications to increase their acceptability, desirability, sustainability. This paper explores compares 2 these approaches: the responsible innovation (RI) framework originating from technology studies co-design approach design studies. While RI has been introduced guide through anticipation, inclusion, reflexivity, responsiveness, is a commonly accepted in development support care for older adults with frailty. However, there limited understanding about how contributes anticipation implications.

Language: Английский

Artificial Intelligence in Nursing: Technological Benefits to Nurse’s Mental Health and Patient Care Quality DOI Open Access
Hamad Ghaleb Dailah,

Mahdi Dafer Koriri,

Alhussean Sabei

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(24), P. 2555 - 2555

Published: Dec. 18, 2024

Nurses are frontline caregivers who handle heavy workloads and high-stakes activities. They face several mental health issues, including stress, burnout, anxiety, depression. The welfare of nurses the standard patient treatment depends on resolving this problem. Artificial intelligence is revolutionising healthcare, its integration provides many possibilities in addressing these concerns. This review examines literature published over past 40 years, concentrating AI nursing for support, improved care, ethical issues. Using databases such as PubMed Google Scholar, a thorough search was conducted with Boolean operators, narrowing results relevance. Critically examined were publications artificial applications care ethics, health, health. examination revealed that, by automating repetitive chores improving workload management, (AI) can relieve challenges faced improve care. Practical implications highlight requirement using rigorous implementation strategies that address data privacy, human-centred decision-making. All changes must direct to guarantee sustained significant influence healthcare.

Language: Английский

Citations

6
Making co-design more responsible: a case study on developing an AI-based decision support system in dementia care (Preprint) DOI Creative Commons
Dirk Lukkien, Sima Ipakchian Askari, Nathalie E Stolwijk

et al.

JMIR Human Factors, Journal Year: 2024, Volume and Issue: 11, P. e55961 - e55961

Published: June 2, 2024

Emerging technologies such as artificial intelligence (AI) require an early-stage assessment of potential societal and ethical implications to increase their acceptability, desirability, sustainability. This paper explores compares 2 these approaches: the responsible innovation (RI) framework originating from technology studies co-design approach design studies. While RI has been introduced guide through anticipation, inclusion, reflexivity, responsiveness, is a commonly accepted in development support care for older adults with frailty. However, there limited understanding about how contributes anticipation implications.

Language: Английский

Citations

1