Healthcare Analytics Data Collection & Management Flashcards
7 cards from real HAC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Healthcare Analytics Data Collection & Management flashcards as text
Which data governance principle ensures that each data element has a designated owner responsible for its quality and accuracy?
Answer: Data stewardship
Data stewardship assigns accountability for data quality to specific individuals or roles within an organization.
A hospital is transitioning from ICD-9 to ICD-10 coding. Which data management challenge is MOST critical during this migration?
Answer: Maintaining historical comparability between coding systems
Crosswalking between ICD-9 and ICD-10 is essential to preserve the ability to analyze trends across the transition period.
In HL7 FHIR, what is a 'resource' as it relates to healthcare data exchange?
Answer: A modular unit representing a discrete healthcare concept such as a patient or observation
FHIR resources are the fundamental building blocks of data exchange, each representing a specific healthcare concept.
Which technique is used to combine data from multiple sources into a single, unified view without physically moving or copying the data?
Answer: Data virtualization
Data virtualization provides a real-time integrated view of disparate data sources without requiring physical consolidation.
What is the primary purpose of a Master Patient Index (MPI) in a healthcare system?
Answer: To uniquely identify and match patient records across disparate systems
An MPI resolves duplicate records and links patient identities across different systems to ensure accurate longitudinal records.
A healthcare analyst discovers that blood pressure values in a dataset range from 0 to 500 mmHg. Which data quality dimension is violated?
Answer: Validity
Validity checks whether data values fall within acceptable ranges or conform to defined business rules.
Which approach to data integration is BEST suited for near-real-time analytics dashboards in a clinical setting?
Answer: Change data capture (CDC) with streaming pipelines
CDC captures row-level changes as they occur and streams them downstream, enabling near-real-time data freshness.