کاربرد هوش مصنوعی در پیشگیری از سقوط بیماران؛ یک مطالعه ی مروری
کد: G-1037
نویسندگان: معصومه رفعت ℗, علی پورحبیب ©
زمان بندی: زمان بندی نشده!
دانلود: دانلود پوستر
خلاصه مقاله:
خلاصه مقاله
Introduction: The issue of patient falls and their consequences has raised significant concerns globally, highlighting the need for improved patient care. Artificial intelligence (Al) emerges as a valuable tool in this context, effectively helping to reduce the risk of falls by predicting and identifying risk factors. Al can alert patients and their caregivers, making it an essential resource for preventing falls among patients with limited mobility, those who require assistance in moving, and those who are completely immobilized. This is achieved through the use of statistical models and data analysis. Methods and Materials: This review study was conducted using the keywords "artificial intelligence," "fall risk," "patient care," and their equivalents in English across several databases, including PubMed, Embase, Scopus, ScienceDirect, Irandak, SID, and Magiran, from 2014 to 2024. We included clinical trial articles published in English or Farsi that focused on the performance of patients undergoing relative rest and absolute rest. A standardized data extraction form was used to collect information such as study characteristics, study population, interventions, results, and methodological quality. The research team collaborated throughout all phases of the study. Results: The results of this review study indicate that the use of artificial intelligence positively impacts the reduction of fall rates and their associated complications. Key characteristics include the high accuracy of artificial intelligence, the innovative nature of the tool, and its potential for development through new models, which can also help lower treatment costs. However, the research conducted in this area has been limited to a small number of countries and patients with similar diagnoses. Therefore, there is a clear need for more studies with stronger designs and larger sample sizes. Discussion & Conclusions: The study's results highlight the significance of artificial intelligence in preventing patient falls, demonstrating positive economic and social effects.
کلمات کلیدی
Artificial intelligence, fall risk, patient care, nursing
