Generative AI is rapidly reshaping healthcare and life sciences—extending beyond traditional AI to generate clinical documentation, research insights, patient education materials, and operational workflows at scale. Generative AI in Healthcare: Clinical Practice, Research, Patient Care, and Operations explores how these tools can be applied safely, ethically, and effectively across real-world settings.

您将学到什么
Critically evaluate and integrate Generative AI tools to support clinical decisions, medical imaging, and automated documentation.
Design and assess AI-driven strategies to accelerate literature synthesis, optimize trial design, and advance drug discovery efforts.
Develop and implement personalized patient care plans, generate clear education content, and deploy effective virtual health assistants.
Formulate and apply AI-based solutions to automate operations, ensure HIPAA compliance, and drive quality improvement initiatives.
您将获得的技能
- Ethical Standards And Conduct
- Decision Support Systems
- Science and Research
- Clinical Documentation
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Health Care Procedure and Regulation
- Digital Transformation
- Patient Education And Counseling
- Patient-centered Care
- ChatGPT
- Artificial Intelligence
- Radiology
- Healthcare Ethics
- Generative AI
- Medical Imaging
- Health Informatics
- Clinical Trials
- AI Personalization
- Clinical Research
- Precision Medicine
- 技能部分已折叠。显示 5 项技能,共 20 项。
要了解的详细信息

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4 项作业
February 2026
了解顶级公司的员工如何掌握热门技能

该课程共有4个模块
This module explores how Generative AI is transforming clinical workflows. Learners will examine AI-powered clinical decision support systems, applications in medical imaging and diagnostics, tools for patient communication, and innovations in documentation and coding assistance. Through case studies and hands-on activities, learners will discover how GenAI can improve efficiency and accuracy in clinical practice.
涵盖的内容
11个视频2篇阅读材料1个作业1次同伴评审1个讨论话题
This module focuses on how GenAI accelerates research and innovation in pharma and biotech. Learners will explore AI applications in literature review and synthesis, clinical trial design optimization, drug discovery, and biomarker identification. Real-world examples and interactive exercises will highlight how GenAI shortens development timelines and enhances data-driven decision-making.
涵盖的内容
10个视频1篇阅读材料1个作业1次同伴评审1个讨论话题
This module examines the role of GenAI in enhancing patient-centered care. Learners will study applications such as personalized treatment planning, AI-generated patient education materials, virtual health assistants, and remote monitoring through telehealth. Practical exercises will demonstrate how AI can empower patients, improve communication, and support personalized care journeys.
涵盖的内容
10个视频1篇阅读材料1个作业1次同伴评审1个讨论话题
This module highlights how GenAI streamlines healthcare operations while maintaining compliance and quality. Topics include administrative automation, revenue cycle management, HIPAA and privacy considerations, and AI-powered quality improvement initiatives. Learners will gain insights into applying AI responsibly to reduce inefficiencies, ensure regulatory compliance, and support continuous improvement in healthcare systems.
涵盖的内容
11个视频1篇阅读材料1个作业2次同伴评审1个讨论话题
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