Transform raw clinical data into actionable insights that improve patient care. This course equips healthcare data analysts with foundational skills to navigate complex healthcare data systems effectively.
Extract, Map, and Analyze Clinical Data
您将学到什么
Systematic data dictionary navigation is fundamental to ensuring accurate clinical data selection and preventing downstream analytical errors
Standardized extraction procedures are critical for maintaining data consistency and reproducibility in healthcare analytics
Comprehensive source-to-target documentation serves as the foundation for data governance, auditing, and quality assurance in clinical research
Proper data lineage documentation enables trust and transparency in healthcare analytics that directly impacts patient care decisions
您将获得的技能
- Data Mapping
- Data Validation
- Electronic Medical Record
- Data Access
- Patient-centered Care
- Health Information Management
- Extract, Transform, Load
- Data Collection
- Data Transformation
- Data Dictionary
- Clinical Informatics
- Epic EMR
- Data Analysis
- Health Informatics
- Clinical Data Management
- Electronic Data Capture (EDC)
- Data Integrity
- Data Quality
- 技能部分已折叠。显示 9 项技能，共 18 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
本课程是 Basics of Healthcare Data Analytics: Boost Patient Outcomes 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3个模块
Learners will master systematic navigation of healthcare data dictionaries to identify and select appropriate data elements for specific clinical questions, ensuring accurate data selection that prevents downstream analytical errors.
涵盖的内容
2个视频1篇阅读材料2个作业
Learners will execute standardized data extraction procedures from Epic Clarity and similar clinical systems, mastering systematic approaches that maintain data consistency and reproducibility in healthcare analytics.
涵盖的内容
1个视频2篇阅读材料2个作业
Learners will analyze extracted data files and create comprehensive source-to-target mapping documentation that ensures data transparency, supports auditing requirements, and enables trust in healthcare analytics that directly impacts patient care decisions.
涵盖的内容
2个视频1篇阅读材料2个作业1个非评分实验室
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
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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.
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