HMIS Data Quality Flashcards

1
Q

Aspects of Data Quality:

A

Accuracy
Completeness
Update Status
Relevance
Consistency
Reliability
Appropriate
Presentation
Accessibility

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2
Q

RDQA

A

Routine Data Quality Assessment Tool

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3
Q

Objectives of the RDQA

A

Verify rapidly
Implement
Monitor

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4
Q

project management tool that illustrates how a project is expected to progress at a high level

A

Implementation Plan

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5
Q

The analysis of data capture statistic

A

Profiling

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6
Q

The decomposition of text fields into component parts

A

Parsing and standardization

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7
Q

The modification of data values to meet domain restrictions, integrity constraints, or
other business rules

A

Generalized “cleansing”

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8
Q

Identifying, linking, or merging related entries within or across sets of data

A

Matching

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9
Q

Deploying controls to ensure that data continues to conform to business rules that
define data quality for the organization

A

Monitoring

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10
Q

Enhancing the value of internally held data by appending related attributes from
external source

A

Enrichment

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11
Q

Questions addressed in FMEA

A

Mode
Frequency
Actions implemented
Are the actions effective and efficient

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12
Q

FMEA

A

Failure Mode and Effect Analysis

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13
Q

20 of the work one can generate 80 of the
advantage of doing the entire job

A

Pareto analysis

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14
Q

used in risk and safety analysis

A

Fault Tree Analysis

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15
Q

Interpretation of an upside down tree

A

Undesirable result= top of the tree
Potential causes = down tree

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16
Q

used when the root causes of multiple problems
need to be analyzed all at once

A

Current Reality Tree (CRT)

17
Q

shows the categorized causes and sub causes of
a problem

A

Fishbone/Ishikawa/ Cause-and-Effect Diagram

18
Q

breaks a problem down to its root cause by
assessing a situation using priorities and orders
of concern for specific issues

A

Kepner-Tregoe Technique

19
Q

RPR

A

Rapid Problem Resolution

20
Q

Data gathering and analysis of
findings in RPR

A

DISCOVER

21
Q

Creation of a diagnostic plan and
identification of the root cause through careful
analysis of the diagnostic data in RPR

A

INVESTIGATE

22
Q

Fixing the problem and monitoring to
confirm and validate that the correct root cause
was identified
in RPR

A

FIX