Data Quality Flashcards
IT SIGNIFIES THE DATA’S APPROPRIATENESS TO SERVE ITS PURPOSE IN A GIVEN CONTEXT
Data Quality
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 analvtics system
Data Quality
Data Quality
Used in the areas of:
Customer relationship management
(CRM)
Data integration
Regulation requirements
generates costs, affects customer satisfaction, company reputation, and even strategic decisions of the management
Poor data quality
A tool that allows the use of small random samples (19 sxs) to distinguish between different groups of data elements (or lots) with high and low data quality
Widely applied in the health care industry for decades and has been used for quality assurance of products
Lot Quality Assurance Sampling (LQAS)
- Smallest sampling size to use and still become statistically accurate. Samples that are more than____ are more expensive while sampling size less than___ is not accurate.
19 sxs
is adopted in the context of District Health Information System (DHIS) data quality assurance (DQA)
Lot Quality Assurance Sampling (LQAS)
Formula for report timeliness rate
= # of on-time reports / total # of
reports for that section x 100
Level of acceptable error =
70% +/-10% (60 - 80%)
• It is a simplified version of the Data Quality Audit (DOA) tool which allows programs and projects to verify and assess the quality of reported data
Routine Data Quality Assessment (RDQA)
Rapidly verify the quality of reported data
Implement corrective measures with action plans for strengthening data management and reporting system and improving data quality
RDQA
EXAMPLE: DENGUE PREVENTION AND CONTROL
PROGRAM IN MINDANAO
• External auditors are important to check for flaws in the system and their visits can be more frequent, more organized, and less resource intensive to benefit the institution at the end of the day
RDQA
• A project management tool that illustrates how a project is expected to progress at a high level
• Important in ensuring the efficient flow of communication between those involved in the project
• Minimize issues that would delay delivery of the project
Development Implementation Plan
TOOLS THAT ARE CRUCIAL IN MAINTAINING ACCURACY & RELEVANCY IN HEALTH INFORMATION
Data Quality Tools
• Analyzes information and identifies incomplete or incorrect data
Data Quality Tools