Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Introduction The inclusion of fall detection and prevention systems in this annotated bibliography is due to its critical role in safeguarding vulnerable populations, such as the elderly or people who are prone to falling. The allure of this technology derives from its capacity to employ modern sensors and algorithms to detect falls rapidly, allowing for prompt intervention and decreasing the severity of injuries. A comprehensive search of academic materials was conducted utilizing a systematic search methodology across many databases, including PubMed, CINAHL, and IEEE Xplore. The search terms were "fall detection systems," "fall prevention technology," "elderly fall intervention," and "sensor-based fall detection," all of which were strategic in nature. The search parameters were carefully chosen to include a broad variety of articles, studies, and reviews that directly address the technological advancements, patient outcomes, and nursing implications of fall detection and prevention systems. This strategy ensured a complete understanding of the current level of research and breakthroughs in this critical area of healthcare technology. Annotated bibliography El-Bendary, N., Tan, Q., Pivot, F. C., & Lam, A. (2013). Fall detection and prevention for the elderly: A review of trends and challenges. International Journal on Smart Sensing and Intelligent Systems, 6(3), 1230-1266. https://doi.org/10.21307/ijssis-2017-588 In order to address the serious issue of falls among the elderly, El-Bendary, Tan, Pivot, and Lam (2013) conducted a thorough assessment of state-of-the-art technolog