Healthcare Analyst Health Informatics & Technology Flashcards
6 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 6 Healthcare Analyst Health Informatics & Technology flashcards as text
What is the purpose of a Health Information Exchange (HIE)?
Answer: To enable the secure sharing of patient health information among providers and organizations electronically
An HIE allows healthcare providers and organizations to electronically share patient health data to improve care coordination and reduce duplication.
In health IT project management, what does a 'go-live' event refer to?
Answer: The moment a new health information system becomes operational for end users
Go-live is the transition point when a new or upgraded health IT system is officially activated and begins supporting real clinical operations.
Which approach to EHR data migration involves running both old and new systems simultaneously for a period to ensure accuracy?
Answer: Parallel run (parallel operation)
A parallel run operates both legacy and new systems concurrently, allowing organizations to compare outputs and verify accuracy before full cutover.
What does 'meaningful use' of EHR technology require healthcare providers to demonstrate?
Answer: That they are using certified EHR technology to improve quality, safety, and efficiency of care
Meaningful use requires providers to use certified EHR technology in ways that demonstrably improve patient care quality, safety, and population health outcomes.
A healthcare analyst is building a dashboard to monitor key performance indicators (KPIs). Which tool type is best suited for visualizing trends over time?
Answer: Line chart
Line charts display data points connected over time, making them ideal for visualizing trends, patterns, and changes in KPIs across a time series.
What is the primary benefit of using 'natural language processing (NLP)' in healthcare analytics?
Answer: It extracts structured insights from unstructured clinical text such as physician notes
NLP algorithms parse and interpret free-text clinical documentation to extract coded, analyzable data that would otherwise remain locked in unstructured notes.
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