HIS LEC 8

It is the overall utility of a dataset(s) as a function of its ability to be processed easily and analyzed for a database, data warehouse, or data analytics system.

• Data quality

• Data assurance

• Data trait

• Data value

Which is an aspect of Data quality

• accuracy and relevance

• irrelevant and reliability

• completeness and management

• integration and accesibility

The process of detecting and correcting corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data

• Data cleansing

• Data decontamination

• Data refining

• Data purification

A tool that allows the use of small random samples to distinguish between different groups of data elements with high and low data quality.

• Data Quality Tools

• Routine Data Quality Assessment (RDQA)

• Lot Quality Assurance Sampling (LQAS)

• Development Implementation Plan

The simplified version of the Data Quality Audit

• Lot Quality Assurance Sampling (LQAS)

• Routine Data Quality Assessment (RDQA)

• Regular Data Quality Assessment (RDQA)

• Program Data Quality Assessment (PDQA)

Which is NOT an objective of Routine Data Quality Assessment (RDQA)?

• Rapidly verify the quality of reported data for key indicators at selected sites

• To provide quality information to support decision-making at all levels of the health care system in any medical institution.

• Implement corrective measures with action plans for strengthening data management and reporting system and improving data quality

• Monitor capacity improvements and performance of data management and reporting system to produce quality data

It is important in ensuring the efficient flow of communication between those who are involved in the project so as to minimize issues that would delay delivery of the project.

• Development Implementation Plan

• Routine Data Quality Assessment (RDQA)

• Lot Quality Assurance Sampling (LQAS)

• Data Quality Tools

It analyzes information and identifies incomplete or incorrect data

• Data Quality Tools

• Data cleansing

• Data integrity

• Master data management

By maintaining it, the process enhances the reliability of the information being used by an organization.

• data integrity

• data stability

• data principle

• data cohesion

It is a technology enabled discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets

• Data Stability

• Data integrity

• Master data management

• Data integration