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
访问权限由 New York State Department of Labor 提供
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
- Decision Support Systems
- Artificial Neural Networks
- Health Informatics
- Real Time Data
- Data-Driven Decision-Making
- Machine Learning
- AI Enablement
- Advanced Analytics
- Predictive Analytics
- Health Information Management
- Data Integration
- Machine Learning Algorithms
- Data Governance
- Business Analytics
- Analytics
- Artificial Intelligence
- 技能部分已折叠。显示 9 项技能，共 16 项。
要了解的详细信息
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添加到您的领英档案
作业
4 项作业
授课语言：英语（English）
最近已更新！
September 2025
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
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位教师
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