Module 9: Database Management and Health Analytics

A set of vocabulary flashcards covering the fundamentals of database management, health analytics, Big Data, and their applications in healthcare systems.

Database Management

The process of collecting, organizing, storing, retrieving, updating, and protecting data using a Database Management System (DBMS).

Database

An organized collection of related information stored electronically, allowing users to quickly search, update, and retrieve information without manual searching.

Database Management System (DBMS)

Software that manages databases by allowing users to create, modify, organize, and access data efficiently, such as MySQL, Oracle Database, Microsoft SQL Server, and PostgreSQL.

Database Engine

The core software that manages the database by storing, retrieving, updating, and deleting data while allowing multiple concurrent users.

Database Schema

The blueprint that defines how data is organized into tables, fields, and relationships to ensure information is accurate and free from duplication.

Physical Database

The actual storage location of healthcare data, which can be stored on local servers or cloud-based systems.

Health Analytics

The process of collecting, analyzing, interpreting, and using healthcare data to identify patterns, trends, and relationships for better decision-making.

Descriptive Analytics

A type of analytics that answers "What happened?" by summarizing historical healthcare data to identify trends and patterns.

Diagnostic Analytics

A type of analytics that answers "Why did it happen?" by analyzing data to determine the cause of a healthcare event.

Predictive Analytics

A type of analytics that answers "What is likely to happen?" by using historical data to forecast future health outcomes.

Prescriptive Analytics

A type of analytics that answers "What should we do?" by recommending the best action based on data analysis.

Big Data

Extremely large and complex collections of healthcare information continuously generated from multiple sources that cannot be managed using traditional methods.

Electronic Health Record (EHR)

The digital version of a patient’s paper medical record, accessible securely by authorized healthcare professionals across different departments.

Volume

One of the 5 Vs of Big Data referring to the enormous amount of healthcare data generated daily.

Velocity

One of the 5 Vs of Big Data describing how quickly healthcare data is created, updated, and processed in real time.

Variety

One of the 5 Vs of Big Data meaning healthcare data exists in different formats, including text, medical images, laboratory reports, videos, and sensor data.

Veracity

One of the 5 Vs of Big Data referring to the accuracy and reliability of healthcare information to prevent incorrect diagnoses or treatments.

Value

One of the 5 Vs of Big Data representing meaningful insights obtained from data analysis that improve patient care and decision-making.

Disease Surveillance

A critical role of health analytics where hospitals and laboratories submit reports to detect unusual increases in cases and identify potential outbreaks.

Census

The systematic collection of information about a population which, when combined with healthcare databases, helps governments understand population health needs.

Structured Data

Information organized into a consistent format, such as rows and columns in a database, allowing computers to process it quickly and accurately.