Module 8: HMIS Data Quality Flashcards
Elements of Data Quality
- Accuracy
- Completeness
- Consistency
- Reliability
- Up-to-date
Techniques for HMIS Data Accuracy
The Lot Quality Assessment (LQAS)
The Routine Data Quality Assessment Tool (RDQA)
is a simplified version of the Data Quality Audit
(DQA) which allows programs and projects to verify and assess the quality of their reported data
The Routine Data Quality Assessment Tool (RDQA)
is a tool that allows the use of small random samples to distinguish
between different groups of data elements (or lots) with high and low data quality
The Lot Quality Assessment (LQAS)
analyzes information and identifies incomplete or incorrect data.
Data Quality Tool
refers to the decomposition of fields into component parts and formatting
the values into consistent layouts based on industry standards and patterns and user-defined business
rules.
Parsing and standardization
Enrichment,
Monitoring
,Profiling
,Matching
Generalized “cleansing”
data quality
the enhancement of the value of the data by using related attributes from external
sources such as consumer demographic attributes or geographic descriptors.
Enrichments
refers to the deployment of controls to ensure conformity of data to business rules set
by the organization.
Monitoring
refers to the analysis of data to capture statistics or metadata to determine the quality of
the data and identify data quality issues.
Profiling
is the identification and merging of related entries within or across data sets.
Matching
is the modification of data values to meet domain restrictions,
constraints on integrity, or other rules that define data quality as sufficient for the organization.
Generalized “cleansing”
is a problem solving method that identifies the root causes of problems or events
instead of simply addressing the obvious symptom
Root Cause Analysis.
identifying all possible failures in a design, a manufacturing or assembly process, or a product
or service. Failures are prioritized according to how serious their consequences are, how frequently they
occur, and how easily they can be detected
Failure Mode and Effects Analysis
Pareto analysisis a simple decision-making technique for assessing competing problems and measuring
the impact of fixing them. This allows you to focus on solutions that will provide the most benefit.
Pareto analysis