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市场调查报告书
商品编码
1788050
医院感染预防技术:创新与成长机会Technologies for Preventing Hospital-Acquired Infections-Innovations and Growth Opportunities |
全面了解人工智慧、自动化和数位监控技术的作用,将展示推动医院内感染即时检测和预防策略的创新。
院内感染 (HAI) 通常在入院后 48 小时以上发生,住院期间无症状。全球整体每年约有 1.36 亿人感染 HAI。这导致死亡率上升,并因长期住院和治疗而增加经济负担。本报告全面概述了有助于缓解 HAI 的各种技术。报告重点关注自主消毒和灭菌技术以及智慧预测监测技术的创新生态系统和相关人员。机器人技术正在快速发展,其自主性和智慧决策能力不断增强,并被考虑用于医疗机构的表面和设备消毒。医疗保健 AI 系统正逐渐能够容纳更大量的消毒数据,这些平台可有效用于监测和预测医院感染模式。本报告深入探讨了自主消毒和智慧预测监测技术领域的创新现状和策略发展(例如合作伙伴关係、投资和资金筹措)。它还确定了各种 HAI 预防技术领域中可能在 2030 年前改变市场的潜在成长领域。
院内感染 (HAI) 仍然是一个隐匿且严重的威胁,它增加了整个医疗系统的发病率、成本和业务负担。我们最新的报告《医院感染预防技术:创新与成长机会》阐述了机器人技术和人工智慧如何帮助最大限度地减少医院获得性感染的发生,将被动感染控制措施转变为主动控制措施,最大限度地减少人为错误,避免人为接触不安全的消毒方法,并在医疗环境中将污染风险标靶化在萌芽状态之前。
迈向更安全的医疗保健!下载报告,以取得减少医院感染和改善病患预后的最新见解。
A comprehensive look at the role of AI, automation, and digital surveillance technologies, showcasing the innovations that drives towards real-time detection and prevention strategies of hospital-acquired infections
Hospital-acquired infections (HAI) occur 48 hours or more after hospital visit and were not present at the time of admission. Globally, around 136 million people are affected by HAIs every year. This increases the mortality rate and economic burden due to extended hospitalization and treatment. This report provides a comprehensive overview of various technologies that help mitigate HAIs. The report focuses on highlighting innovative ecosystems and stakeholders in autonomous disinfection and sterilization technologies, as well as smart monitoring and predictive surveillance technologies. Robotics is evolving rapidly with increasing autonomy and intelligent decision-making, and is being explored to sterilize surfaces and equipment in healthcare facilities. Healthcare AI systems are becoming better with larger volumes of disinfection data, and these platforms can be efficiently used to monitor and predict hospital infection patterns. The report will delve into the innovation landscape and the strategic developments (like partnerships, investments, and funding initiatives) within the autonomous disinfection and the smart monitoring and predictive surveillance technologies landscapes. It also identifies the potential growth areas within the different HAI prevention technologies landscape, which are poised to disrupt the market by 2030.
Hospital-acquired infections (HAI) continue to pose a silent but serious threat across healthcare systems, increasing morbidity, costs, and operational strains. Our latest report on "Technologies for Preventing Hospital-acquired Infections- Innovations and Growth Opportunities" explains how leveraging robotic technology and AI would minimize the incidence of HAI and transform the reactive infection control measures to proactive practice, minimizing human errors, avoiding human contact with hazardous disinfection modalities, and targeting contamination risks before they outbreak in the healthcare environment.
Take the next step forward towards safer healthcare! Download the report to get the latest insights to reduce HAIs and improve patient outcomes.