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.

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
- Epic EMR
- Extract, Transform, Load
- Clinical Informatics
- Patient-centered Care
- Data Transformation
- Health Information Management
- Data Dictionary
- Data Mapping
- Data Validation
- Data Quality
- Data Analysis
- Data Access
- Health Informatics
- Data Collection
- Electronic Data Capture (EDC)
- Clinical Data Management
- Data Integrity
- Electronic Medical Record
- 技能部分已折叠。显示 10 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
- 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
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