Oracle Health Clinical AI Agent for Nurses 将住院 EHR 自动化扩展至全美医院
Oracle Health Clinical AI Agent for Nurses Expands Inpatient EHR Automation Across U.S. Hospitals
你需要了解的内容Oracle Health已在美国商业推出 Oracle Health Clinical AI Agent for nurses，将语音驱动和生成式 AI 能力直接嵌入住院 Oracle Health Foundation EHR（前身为 Cerner Millennium）。
直接针对最大的临床工作群体：尽管生成式 AI 主要集中于门诊医生记录草拟，但护士是住院 EHR 的主要操作使用者，并面临严重的文书负担，这些负担会导致职业倦怠和轮班后加班。
扩展经过验证的企业级性能：基于 Oracle Health 面向医生的 Clinical AI Agent 构建，该工具自近两年前推出以来，已在美国各卫生系统为医生节省了超过 400,000 小时的文书时间。
原生住院语音导航与离散化记录
与主要生成叙述性病史和体格检查（H&P）或病程记录的面向医生的环境式记录工具不同，护理文书要求在结构化流程表、出入量记录、生命体征和给药记录中进行结构化、离散条目录入。
新的护理能力围绕三个核心运营支柱设计：
语音启用的离散化记录：
允许床旁护士直接在床旁口述观察结果、生命体征、液体测量值和临床评估，该 agent 近乎实时地将口述话语解析为 EHR 中结构化、离散的数据字段。
急性护理摘要：
将跨学科临床记录、医生医嘱、当前用药和近期实验室趋势综合为简洁的班次级概览，以简化交接班并减少手动翻查病历。
语音驱动的病历搜索与导航：
采用自然语言语音命令，使护士在照护患者时能够免手操作地调出特定诊断值、既往手术史或当前护理计划。
从医生记录扩展至企业级护理团队
此次发布标志着 Oracle Health Clinical AI Agent 的横向扩展，该产品近两年前推出，用于医生门诊和住院记录生成。据 Oracle 称，迄今为止，该医生工具已在美国各卫生系统累计节省超过 400,000 小时的文书时间。
早期临床部署反馈强调了在轮班结束时行政积压方面的运营缓解：
BayCare Health System
位于佛罗里达州，是早期采用者之一，正在活跃的住院病区评估该系统，目标是在“睡衣时间”和轮班后加班记录方面实现减少。
新能力将在即将举行的Oracle Health and Life Sciences Summit in Orlando（2026 年 9 月 22–24 日），Oracle 将在那里展示其跨 EHR、临床试验和生命科学分析的多代理编排路线图。
What You Should Know Oracle Health has launched the U.S. commercial availability of Oracle Health Clinical AI Agent for nurses, embedding voice-driven and generative AI capabilities directly into the inpatient Oracle Health Foundation EHR (formerly Cerner Millennium).
Directly targets the largest clinical workforce: while generative AI has predominantly focused on ambulatory physician note drafting, nurses represent the primary operational users of inpatient EHRs and face severe documentation burdens that drive burnout and post-shift overtime.
Extends proven enterprise performance: builds on Oracle Health’s Clinical AI Agent for physicians, which has saved doctors more than 400,000 documentation hours across U.S. health systems since its launch nearly two years ago.
Native Inpatient Voice Navigation and Discrete Charting
Unlike physician-facing ambient scribes that primarily generate narrative history and physical (H&P) or progress notes, nursing documentation requires structured, discrete entry across structured flowsheets, intake/output logs, vital signs, and medication administration records.
The new nursing capabilities are engineered around three core operational pillars:
Voice-Enabled Discrete Charting:
Allows bedside nurses to dictate observations, vitals, fluid measurements, and clinical assessments directly at the bedside, with the agent parsing spoken words into structured, discrete data fields in the EHR in near real time.
Acute Nursing Summaries:
Synthesizes interdisciplinary clinical notes, physician orders, active medications, and recent lab trends into concise, shift-level overviews to streamline shift handoffs and limit manual chart digging.
Voice-Driven Chart Search & Navigation:
Employs natural language voice commands enabling nurses to pull up specific diagnostic values, past surgical histories, or active care plans hands-free while attending to patients.
Expanding From Physician Scribing to Enterprise Care Teams
The launch marks a horizontal expansion of Oracle Health Clinical AI Agent, which was introduced for physician outpatient and inpatient note generation nearly two years ago. According to Oracle, the physician tool has logged over 400,000 saved documentation hours across U.S. health systems to date.
Early clinical deployment feedback highlights operational relief around end-of-shift administrative backlogs:
BayCare Health System
in Florida is among the early adopters evaluating the system in active inpatient units, targeting reductions in “pajama time” and post-shift overtime charting.
The new capabilities will be featured at the upcoming
Oracle Health and Life Sciences Summit in Orlando (September 22–24, 2026), where Oracle is showcasing its multi-agent orchestration roadmap across EHR, clinical trials, and life sciences analytics.
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