Microsoft揭幕了Dragon Copilot，這是AI驅動的語音助手，旨在幫助醫生減少用於醫療文檔的時間。基於DAX Express和Nuance的語音識別技術的新工具提供了實時轉錄，自動化的註釋以及與電子健康記錄（EHRS）的直接集成。
醫生面臨越來越多的人行政管理，Microsoft旨在通過AI。
Dragon Copilot是Microsoft多年來將AI融入醫療保健的努力的延續。該公司在2021年以197億美元的價格收購了差異通信，將其定位為語音識別技術的領導者，尤其是對於醫療應用，並生成結構化注意。
與早期的工具不同，主要是轉錄的工具，新的AI助手使醫生能夠使用語音命令動態與記錄進行動態交互，從而減少了對手動數據輸入的依賴。
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。 Microsoft的目的是通過將Dragon Codilot與EHR集成，使醫生可以決定註釋並自動結構並進入醫療記錄。
AI系統支持多語言輸入，還可以在多元化的醫療保健設置中更廣泛地適用於
[embedded content]Microsoft’s AI Strategy and Competitive Landscape
Microsoft is not the only major tech company developing AI-powered healthcare solutions. Google專注於基於文本的AI，引入了一種模型，該模型有助於解讀手寫的醫生筆記以提高處方可讀性。
，而Google的AI協助數字化現有醫療記錄，Microsoft的方法強調了通過語音互動的實時工作流動自動化。 Amazon’s projects include cloud-based patient management systems, while Apple has integrated health-monitoring capabilities into its devices.
However, these companies primarily target consumer health applications, whereas Microsoft is concentrating on enterprise-level solutions for hospitals and clinics.
What differentiates Dragon Copilot is its ability to automate the process of clinical note generation while integrating directly into hospital infrastructure.
With Microsoft’s previous AI-driven tools already in use across various medical institutions, the company is positioning itself as a leader in healthcare AI deployment.
AI Ethics and the TRAIN Consortium
The expansion of AI in clinical decision-making has raised concerns about security, data privacy, and bias in medical automation.
Microsoft took steps to address these issues by leading the launch of the Trustworthy & Responsible AI Network (TRAIN) in 2024. This initiative brings together healthcare providers to establish ethical guidelines for AI use in medical environments, ensuring that automated systems maintain transparency and comply with medical standards.
TRAIN also focuses on creating an AI outcomes registry, allowing hospitals to track the real-world impact of AI-driven documentation and workflow automation.這一舉動至關重要，因為監管機構繼續檢查與AI生成的醫療記錄相關的風險，尤其是在責任和準確性方面。
Dragon Copilot的長期影響
Dragon Dragon Copilot標誌著AI在臨床環境中的應用是AI的變化。 While previous AI-driven tools primarily assisted with documentation, Microsoft’s new system moves toward active AI-assisted decision-making.
By reducing manual input and optimizing workflows, the company expects Dragon Copilot to become a standard feature in modern hospitals.
The integration of AI in medical environments is likely to accelerate, with future iterations expected to incorporate predictive analytics and diagnostic support.
Microsoft has already made progress in this direction with Microsoft Cloud for Healthcare, which helps healthcare providers manage and analyze patient data more effectively.隨著AI技術的發展，諸如Dragon Copilot之類的工具可能會擴展到文檔之外，以提供基於患者病史和新興醫學研究的實時治療建議。
及其2025年推出的推出，Dragon Copilot的採用將提供有關醫院和醫生如何適應AI-prian驅動臨床臨床援助的信息。如果成功的話，它可能會為醫療保健中更廣泛的AI集成樹立先例，從而影響全球醫療機構如何在患者護理中實施自動化。
