Healthcare Data Analytics Flashcards

What is healthcare data analytics?

Answer: The systematic use of health data to identify patterns, improve outcomes, and reduce costs

Healthcare analytics applies statistical and computational methods to health data to support evidence-based decisions, quality improvement, and population health management.

What are clinical quality measures?

Answer: Standardized metrics assessing healthcare processes, outcomes, and patient experience

Clinical quality measures evaluate whether healthcare services are effective, safe, efficient, patient-centered, equitable, and timely.

What is population health management?

Answer: An approach to improving health outcomes for a defined group by analyzing data and implementing targeted interventions

Population health management uses data to identify at-risk groups, implement preventive interventions, and monitor outcomes across entire populations.

What is predictive analytics in healthcare?

Answer: Using historical data and algorithms to forecast future health events and outcomes

Predictive analytics applies statistical models and machine learning to historical data to predict outcomes like readmission risk, disease progression, or infection probability.

What is data governance in health information?

Answer: Policies and procedures ensuring data quality, security, availability, and proper use across an organization

Data governance establishes the framework for data management including quality standards, access policies, security measures, and accountability structures.

What is interoperability in healthcare IT?

Answer: The ability of different health IT systems to exchange and use information meaningfully

Interoperability enables different healthcare systems to share data in ways that can be understood and used, supporting coordinated care across organizations.