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市場調查報告書
商品編碼
1788050
醫院感染預防技術:創新與成長機會Technologies for Preventing Hospital-Acquired Infections-Innovations and Growth Opportunities |
全面了解人工智慧、自動化和數位監控技術的作用,將展示推動醫院內感染即時檢測和預防策略的創新。
院內感染 (HAI) 通常在入院後 48 小時以上發生,住院期間無症狀。全球整體每年約有 1.36 億人感染 HAI。這導致死亡率上升,並因長期住院和治療而增加經濟負擔。本報告全面概述了有助於緩解 HAI 的各種技術。報告重點關注自主消毒和滅菌技術以及智慧預測監測技術的創新生態系統和相關人員。機器人技術正在快速發展,其自主性和智慧決策能力不斷增強,並被考慮用於醫療機構的表面和設備消毒。醫療保健 AI 系統正逐漸能夠容納更大量的消毒數據,這些平台可有效用於監測和預測醫院感染模式。本報告深入探討了自主消毒和智慧預測監測技術領域的創新現狀和策略發展(例如合作夥伴關係、投資和資金籌措)。它還確定了各種 HAI 預防技術領域中可能在 2030 年前改變市場的潛在成長領域。
院內感染 (HAI) 仍然是一個隱匿且嚴重的威脅,它增加了整個醫療系統的發病率、成本和業務負擔。我們最新的報告《醫院感染預防技術:創新與成長機會》闡述了機器人技術和人工智慧如何幫助最大限度地減少院內感染的發生,將被動感染控制措施轉變為主動控制措施,最大限度地減少人為錯誤,避免人為接觸不安全的消毒方法,並在醫療環境中將污染風險標靶化在萌芽狀態之前。
邁向更安全的醫療保健!下載報告,以取得減少醫院感染和改善病患預後的最新見解。
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.