This course explores AI’s role in healthcare decision-making, focusing on data integration, predictive intelligence, and operational impact. Learners will examine AI’s use in clinical and administrative functions, data governance, and workflow integration. Through real-world examples, they will gain insights into AI’s potential, challenges, and strategic implementation in healthcare.
The data to decision path for infusion of AI in healthcare
The data to decision path for infusion of AI in healthcare
本课程是 AI for Healthcare Systems 专项课程 的一部分
位教师：Jiban Khuntia
包含在 
中
您将学到什么
Understand AI’s role in the Data-Information-Analysis-Decision (DIAD) process and how it enhances decision-making in healthcare.
Analyze the integration of AI-driven analytics and machine learning algorithms in healthcare models for predictive and operational intelligence.
Assess the challenges of AI implementation in healthcare, including data governance, workflow integration, and strategic alignment.
您将获得的技能
- Real Time Data
- Artificial Neural Networks
- Advanced Analytics
- Decision Support Systems
- Artificial Intelligence
- Digital Transformation
- Machine Learning Algorithms
- Health Information Management
- Applied Machine Learning
- Health Informatics
- Data-Driven Decision-Making
- Business Analytics
- Analytics
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
- Health Technology
- Data Integration
- Data Governance
- Predictive Analytics
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
September 2025
作业
4 项作业
授课语言：英语（English）
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 AI for Healthcare Systems 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4个模块
Covers how AI supports the DIAD pipeline, from raw data to informed healthcare decisions.
涵盖的内容
8个视频1篇阅读材料1个作业
Focuses on the centrality of analytics in transforming data into actionable insights for healthcare.
涵盖的内容
9个视频1篇阅读材料1个作业
Introduces fundamental AI and machine learning algorithms widely used in healthcare applications.
涵盖的内容
8个视频1篇阅读材料1个作业
Explores advanced AI algorithms designed for complex healthcare modeling challenges.
涵盖的内容
10个视频1篇阅读材料1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
从 Health Informatics 浏览更多内容
状态：预览Northeastern University
状态：免费试用Stanford University
状态：免费试用Stanford University
状态：免费试用Coursera Instructor Network
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，