This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings. The course emphasizes the significance of data quality and the potential impact of bias on clinical decision support systems. Participants will gain hands-on experience with AI and machine learning tools, including natural language processing (NLP) applications for clinical note summarization. Additionally, the course covers the integration of AI with electronic health records (EHRs) and clinical decision support systems, equipping learners with the knowledge to leverage AI for improved patient outcomes.

AI Integration in Healthcare Patient Data

位教师:Frank Naeymi-Rad
访问权限由 New York State Department of Labor 提供
您将获得的技能
- Health Informatics
- Healthcare Ethics
- Artificial Intelligence
- Data Quality
- Clinical Data Management
- Health Technology
- Decision Support Systems
- Clinical Informatics
- Generative AI
- Natural Language Processing
- Machine Learning
- Health Care
- Data Ethics
- Electronic Medical Record System
- Responsible AI
- 技能部分已折叠。显示 9 项技能,共 15 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
本课程是 Digital Healthcare Informatics and AI 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有3个模块
Discover the AI and machine learning tools transforming healthcare, including NLP for clinical notes, predictive analytics, and AI integration with EHRs.
涵盖的内容
22个视频3篇阅读材料2个作业1个讨论话题
Explore the ethical and policy considerations for AI in healthcare, including regulatory requirements and guidelines. Understand the importance of high-quality data and how bias can impact clinical decision support and patient care.
涵盖的内容
28个视频2篇阅读材料2个作业
涵盖的内容
2个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

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University of Colorado System

University of Colorado System
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。





