Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare

Abstract

This comprehensive review delves into the impact and challenges of Artificial Intelligence (AI) in nursing science and healthcare. AI has already demonstrated its transformative potential in these fields, with applications spanning from personalized care and diagnostic accuracy to predictive analytics and telemedicine. However, the integration of AI has its complexities, including concerns related to data privacy, ethical considerations, and biases in algorithms and datasets. The future of healthcare appears promising, with AI poised to advance diagnostics, treatment, and healthcare practices. Nevertheless, it is crucial to remember that AI should complement, not replace, healthcare professionals, preserving the essential human element of care. To maximize AI's potential in healthcare, interdisciplinary collaboration, ethical guidelines, and the protection of patient rights are essential. This review concludes with a call to action, emphasizing the need for ongoing research and collective efforts to ensure that AI contributes to improved healthcare outcomes while upholding the highest standards of ethics and patient-centered care.

Ethical Implications of Artificial Intelligence in Anesthesiology: A Scoping Review

“…Yelne et al, take a broader perspective on the challenges of AI in nursing. They identify a range of ethical concerns, including the lack of transparency in AI algorithms, the potential for cyberattacks, patient awareness, data trustworthiness, and unclear responsibility for patient outcomes (22). Their study highlights the importance of addressing ethical challenges to ensure the responsible and ethical use of AI in healthcare.…”

Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review

“…AI interventions that improve adherence, prevent hospitalisation or reduce unnecessary medication use can potentially lead to cost savings in healthcare systems. However, comprehensive economic evaluations and long-term cost-effectiveness studies are needed to provide more precise statistics in this regard [84,85].…”

“…As shown in Figure 2, for healthcare professionals and policymakers, understanding the basics of AI and ML is crucial in leveraging these technologies to address the challenges of polypharmacy. By integrating AI tools into healthcare systems, professionals can enhance medication safety, improve patient outcomes and streamline the prescribing process [84]. However, successful implementation requires continuous education in these technologies, ethical considerations and collaborative efforts between AI experts, healthcare providers and policymakers to ensure that these tools are used effectively and responsibly.…”

Partnering With Technology: Advancing Laparoscopy With Artificial Intelligence and Machine Learning

“…Postoperative care and follow-up play vital roles in patient recovery post surgery, encompassing monitoring, complication management, and long-term outcome optimization. AI and ML offer promising avenues for improving postoperative care through real-time monitoring, predictive analytics, and personalized interventions tailored to individual patients [3].…”