阿姆斯特朗患者安全和质量研究所提供了一个监督的基础设施, 协调并支持约翰·霍普金斯综合医疗保健系统的患者安全和质量工作. Our mission is to eliminate patient harm, 以尽可能低的成本获得最佳的患者治疗效果，并通过我们的研究和培训分享这些知识.
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Armstrong Institute Spotlight
Other Featured News and Research
Algorithms at the Bedside: Moving Past Development and Validation
Ayse P. Gurses, Ph.D., M.S., and collaborators recently published a report in the Pediatric Critical Care Medicine 杂志讨论了机器学习在重症监护领域的潜在帮助, 但它的设计和实施必须考虑到临床工作的现实，并采用参与式的以人为本的设计.
Making a career in patient safety: How I got hooked
In this article, Albert Wu, M.D., 同事们讨论了他们是如何进入患者安全领域的，以及在过去的三十年中，它是如何发展成为一个新的研究和实践领域的, with an increasing number of opportunities to work in research, practice and policy.
在COVID-19的最初一年，老年人从医院到家庭护理过渡模式的变化特征
在2019冠状病毒病大流行期间，熟练的家庭卫生保健人员为老年人提供了亲自护理, yet little is known about the pandemic's impact on HH care transition patterns. This publication investigated the pandemic's impact on HH service volume, population characteristics, 以及在医院或专业护理机构出院后接受HH服务的老年人的护理过渡模式.
了解药房工作人员使用CancelRx的信息需求:处方电子注销使用的定性研究
In this study, Samantha Pitts, M.D., M.P.H., 和同事利用对药房工作人员的定性访谈来解决以下问题:当处方者使用CancelRx进行药物改变时, 药学人员在药物管理工作中需要哪些信息才能做出正确有效的决策?
以卫生公平为中心的医院事件指挥系统实施:定性案例比较研究
In this study, Christina T. Yuan, Ph.D., M.P.H., Jill Marsteller, Ph.D., M.P.P., and colleagues 研究两个卫生系统在2019冠状病毒病大流行期间实施医院事件指挥系统时如何优先考虑公平性，并确定影响实施的因素.
The Role for Policy in AI-Assisted Medical Diagnosis
In this paper, David Newman-Toker, M.D., Ph.D., 和同事讨论医疗机构如何迅速采用ChatGPT (OpenAI), and many now believe that artificial intelligence will swiftly transform medical practice. Chatbots are already helping to redesign the medical workflow, schedule appointments and even answer routine patient questions, 但这些新技术在改善医疗诊断方面的作用仍然是一个悬而未决的问题.
"Never Again”
Sharing his personal story of how a medical error severely impacted his life, C. Michael Armstrong, past chairman of the board of trustees of Johns Hopkins Medicine, 解释了他致力于改善医疗保健和创建阿姆斯特朗患者安全和质量研究所的原因.
Learn about Our History
