This course is designed for intermediate to advanced students in health informatics who are eager to apply their theoretical knowledge in practical settings. Participants will learn to design and implement real-world projects in both Clinical Health and Public Health environments. The course covers the selection and execution of projects, focusing on innovations that enhance patient and provider experiences through Electronic Health Record (EHR) systems and FHIR servers.

您将获得的技能
- Public Health
- Technology Roadmaps
- Health Informatics
- Emerging Technologies
- Innovation
- Project Management
- Interoperability
- Clinical Informatics
- Systems Integration
- Artificial Intelligence
- Health Technology
- Solution Design
- Responsible AI
- Electronic Medical Record
- Data Analysis
- Patient Flow
- Healthcare Project Management
- Application Programming Interface (API)
- Data Ethics
- Model Evaluation
- 技能部分已折叠。显示 10 项技能,共 20 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
- 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2个模块
This module introduces the theoretical foundation for responsible AI innovation through “Contextual Intelligence,” highlighting how real-world context shapes safe algorithm use. Learners will analyze the AI Hype Cycle and apply tools like NABC and SWOT to design and evaluate healthcare innovations.
涵盖的内容
21个视频4篇阅读材料3个作业1个讨论话题
This Capstone Project moves learners from theory to practice by deploying lightweight local LLMs using LMStudio and evaluating their safety against RxNorm drug fact sheets. Learners will score model accuracy and reliability, then use the results to develop a strategic innovation plan using NABC and SWOT frameworks.
涵盖的内容
2篇阅读材料3个作业
获得职业证书
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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。



