Informatics and Data Management

These flashcards cover key concepts related to Big Data, its characteristics, applications in healthcare, and the importance of standardized clinical terminology.

Big Data

Refers to the massive volume of structured and unstructured data generated every day that organizations can utilize to extract insights and make better decisions.

5 Vs of Big Data

Characteristics of Big Data: volume (size), velocity (speed), variety (types), veracity (quality), and value (importance of insights).

Predictive Analytics

A branch of advanced analytics that uses both new and historical data to forecast future events, often used in healthcare for disease prevention.

Standardized Clinical Terminology

A uniform language used to describe healthcare data, ensuring consistency and accuracy across the healthcare industry.

Interoperability

The ability of different healthcare systems to share and understand information consistently, facilitated by standardized clinical terminology.

Granularity

The level of detail captured in medical coding, allowing specific representation of complex healthcare concepts.

Clinical Decision-Making

The process by which healthcare professionals make choices regarding patient care, enhanced by standardized terminology.

Data Ownership

Concerns regarding who has the rights and control over data, particularly in the context of healthcare data management.

Regulatory Compliance

The adherence to laws and regulations governing the handling and protection of healthcare data.

Bias in Data Sampling

The risk of skewed results in data analysis due to non-representative data collection methods.