Investigating the Role of Artificial Intelligence-Based Clinical Assistants in Critical Nursing Care

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 99

متن کامل این مقاله منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل مقاله (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

AIMS02_350

تاریخ نمایه سازی: 29 تیر 1404

چکیده مقاله:

Background and Aims: Today, the advancement of artificial intelligence in the management of ill patients has revolutionized the intensive care units. This new technology can play an effective role in monitoring patients. Therefore, this study aimed to investigate the role of artificial intelligence-based clinical assistants in nursing intensive care. Methods: This research is a review study that was conducted by searching the Google scholar PubMed, Science Direct bases with a time limit (۲۰۲۲-۲۰۲۵). We reviewed the articles in three stages: title review, abstract study, and full-text study. We removed unrelated articles, finally selecting ۱۱ for review, extracting the relevant information. Results: Today, software or devices that use artificial intelligence to automate tasks, monitor patients, provide alarms, and offer nursing recommendations are called artificial intelligence-based clinical assistants in nursing care. Artificial intelligence has demonstrated promise that artificial intelligence plays an important role in monitoring, early detection, and customization of care in intensive care units. Several studies highlight the benefits of using this new technology, particularly in the ongoing monitoring of vital signs and early identification of serious diseases, including organ failure, sepsis, and other problems in patients who have been hospitalized. Deep neural network-based artificial intelligence is capable of predicting sepsis with a ۹۲% accuracy and ۸۵% sensitivity. In addition, artificial intelligence can play an effective role in personalizing the care performed by fine-tuning doses of vasopressor drugs and mechanical ventilation parameters. Conclusion: When applied as a supplement to clinical judgment rather than as a replacement for it, artificial intelligence has demonstrated promise in improving clinical outcomes, lowering mortality, and personalizing the care of sick patients in critical care units.

نویسندگان

Mohammad Reza Rahi

Department of Nursing, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Zahre Namjou

Research Center for Nursing and Midwifery Care, Non-communicable Diseases Research Institute, Department of Nursing, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Saman Rahiminia

Department of Nursing, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Zeinab Shamsiniya

Department of Nursing, Shahid Sadoughi University of Medical Sciences, Yazd, Iran