HCI 320 - Data Standards in Healthcare Informatics

5 CR

Previously HCTM 320.
This course defines the range of data standards that provide interoperability and systemic integration and further defines the types of data standards available across the continuum of healthcare. Concepts describe how the types of data management work, including master data management, data governance, and metadata management. This provides students the foundation for data storage and mapping. Students also learn the use of data warehouses, data marts, and data lakes, which are the concepts behind health information exchanges. Types of data covered include medical, healthcare, and patient data. Students learn concepts like census management and calculation of service days, diagnostic and reimbursement data. They also learn to track important marketing data like quality reporting and patient satisfaction scoring. Finally, students learn about hospital operational data like supplies, staffing, revenue, and financial data.

Prerequisite(s): Admission to any baccalaureate program at Bellevue College.

Course Outcomes

Interpret the data types used in healthcare including master data and metadata
Define the storage mapping and database types and describe the approaches in creating data warehouses, data marts, and data lakes.
Distinguish different types of healthcare data, patient data, diagnostics, and reimbursement data
Identify quality reporting and patient satisfaction programs
Apply data standards to hospital operational data, staffing, supplies, revenue, and financial data to support interoperability

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