Nurses are raising concerns about the potential dangers to patient care as the healthcare industry struggles with the fast inclusion of AI.
According to TechDirt, there have been mixed reactions regarding the use of artificial intelligence ( AI ) in healthcare, with some praising it as a revolutionary tool for streamlining processes and enhancing outcomes, while others, especially nurses, are raising alarms about the rushed and poorly planned deployment of these systems. In recent weeks, hundreds of nurses have gathered in front of Kaiser Permanente to protest the use of artificial intelligence ( AI ) in hospitals, claiming that the technology lacks the empathy and human touch needed to provide high-quality patient care.
Caregiver Amy Grewal emphasized the unique nature of human contact in medical, stating,” No pc, no AI can substitute a human touch. It may keep your loved person’s hands. You ca n’t teach empathy to a computer. Some healthcare professionals share this view, saying that the rush to implement AI might prioritize patient well-being over cost-saving measures.
There are growing concerns that for-profit medical systems may use AI as a justification to cut corners even more, despite the fact that the sector is still reeling from the effects of coronavirus, especially in operational tasks. The National Nurses United site post highlights this issue, stating,” Nurses are not against scientific or technological advancement, but we will never accept algorithms replacing the expertise, experience, alternative, and hands- on approach we bring to individual care”.
Kaiser Permanente defends its use of AI, claiming that its” Advance Alert” monitoring system, which analyzes patient data daily, could possibly keep up to 500 life a month. However, critics claim that even among non-profit providers, the focus of medical giants appears to have changed from providing physician care to providing financial results. This change is visible in the form of reduced quality of service, increased workload for people, and lower give, while executive remuneration remains intact.
AI in healthcare has had its share of problems, from chatbots offering false mental health advice to healthcare bots making erroneous assessments in 90 % of cases. AI has claim in fields like image research, but implementation should be made cautiously in order to avoid adding new errors while attempting to fix already existing ones.
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