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Respond to this AI has the ability to evaluate extensive quantities of data and facilitate clinical decision - making, thereby causing rapid revolution in healthcare

Respond to this AI has the ability to evaluate extensive quantities of data and facilitate clinical decision-making, thereby causing rapid revolution in healthcare (Lau & Staccini, 2019). My organization is now investigating the use of AI-driven solutions for the purposes of medication management, early diagnosis of diseases, and the development of individualized treatment plans. There are numerous advantages that AI can bring to nursing practice. Among them is enhanced quality of healthcare. AI can aid in the identification of clinical risk factors, provide recommendations for treatment strategies, and help reduce prescription errors. Another advantage is improved efficiency and production. AI has the capability to mechanize administrative activities, liberate nurses' time for attending to patients, and enhance the efficiency of workflows (Lau & Staccini, 2019). Technology enables the customization of medical treatments. Artificial intelligence has the capability to examine patient data in order to forecast how individuals will react to treatments and subsequently customize care plans accordingly.
Nevertheless, some challenges are linked to the use of AI. The algorithm exhibits prejudice. AI systems that are educated on biased data have the potential to perpetuate healthcare inequities and worsen unjust outcomes for specific patient populations (Lau & Staccini, 2019). There are also worries regarding the transparency. Opaque AI models can exhibit a lack of transparency, rendering it arduous to comprehend their decision-making process. This can give rise to ethical apprehensions and impede the establishment of confidence (Lau & Staccini, 2019).

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