HMIS Data Quality Flashcards
Aspects of Data Quality:
Accuracy
Completeness
Update Status
Relevance
Consistency
Reliability
Appropriate
Presentation
Accessibility
RDQA
Routine Data Quality Assessment Tool
Objectives of the RDQA
Verify rapidly
Implement
Monitor
project management tool that illustrates how a project is expected to progress at a high level
Implementation Plan
The analysis of data capture statistic
Profiling
The decomposition of text fields into component parts
Parsing and standardization
The modification of data values to meet domain restrictions, integrity constraints, or
other business rules
Generalized “cleansing”
Identifying, linking, or merging related entries within or across sets of data
Matching
Deploying controls to ensure that data continues to conform to business rules that
define data quality for the organization
Monitoring
Enhancing the value of internally held data by appending related attributes from
external source
Enrichment
Questions addressed in FMEA
Mode
Frequency
Actions implemented
Are the actions effective and efficient
FMEA
Failure Mode and Effect Analysis
20 of the work one can generate 80 of the
advantage of doing the entire job
Pareto analysis
used in risk and safety analysis
Fault Tree Analysis
Interpretation of an upside down tree
Undesirable result= top of the tree
Potential causes = down tree
used when the root causes of multiple problems
need to be analyzed all at once
Current Reality Tree (CRT)
shows the categorized causes and sub causes of
a problem
Fishbone/Ishikawa/ Cause-and-Effect Diagram
breaks a problem down to its root cause by
assessing a situation using priorities and orders
of concern for specific issues
Kepner-Tregoe Technique
RPR
Rapid Problem Resolution
Data gathering and analysis of
findings in RPR
DISCOVER
Creation of a diagnostic plan and
identification of the root cause through careful
analysis of the diagnostic data in RPR
INVESTIGATE
Fixing the problem and monitoring to
confirm and validate that the correct root cause
was identified
in RPR
FIX
