Mastering Agentic AI for Healthcare Advances is an intermediate-level course designed for healthcare professionals, administrators, and technology leaders ready to implement autonomous AI systems in clinical settings. With over 180 zettabytes of healthcare data generated annually and 85% of healthcare enterprises planning AI agent implementation, this course provides essential knowledge for navigating the AI transformation in healthcare. You'll explore real-world case studies including Mayo Clinic's VoiceCare AI documentation system, NVIDIA's drug discovery partnerships, and Innovaccer's administrative automation platform. Through hands-on activities, you'll learn to design AI-powered workflows, validate clinical insights, and build governance frameworks that ensure regulatory compliance while enabling continuous improvement. The course emphasizes practical implementation strategies, from reducing documentation burden by 60% to accelerating clinical research timelines. Whether you're seeking to automate routine tasks, enhance clinical decision-making, or build sustainable AI governance frameworks, this course equips you with the tools and knowledge to successfully integrate agentic AI into healthcare practice while maintaining the highest standards of patient safety and regulatory compliance.

Agentic AI Content for Practitioners (Teams: Healthcare)

位教师:Hurix Digital
访问权限由 New York State Department of Labor 提供
您将获得的技能
- Artificial Intelligence
- Data Validation
- Automation
- Healthcare Project Management
- Clinical Research
- AI Security
- Regulatory Compliance
- Decision Support Systems
- Responsible AI
- AI Enablement
- Clinical Documentation
- Agentic Workflows
- Data Ethics
- Agentic systems
- Data Governance
- Clinical Data Management
- Health Informatics
- 技能部分已折叠。显示 10 项技能,共 17 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

该课程共有3个模块
This foundational lesson introduces learners to agentic AI's transformative potential in healthcare documentation and administrative automation. Learners will explore how AI agents can reduce clinician burden while maintaining quality standards, examine real-world implementations, and practice designing AI-powered documentation workflows.
涵盖的内容
4个视频2篇阅读材料1个作业
This lesson explores how agentic AI transforms clinical research and decision-making through advanced data analysis, pattern recognition, and evidence synthesis. Learners will examine AI applications in drug discovery, clinical trial optimization, and diagnostic insights, then practice implementing AI-driven research methodologies in their clinical practice.
涵盖的内容
3个视频1篇阅读材料1个作业
涵盖的内容
4个视频1篇阅读材料3个作业
位教师

提供方
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University of Colorado System

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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。





