HMIS DATA QUALITY (CHAPTER 8; PREFINALS) Flashcards

1
Q

CRM

A

CUSTOMER RELATIONSHIP MANAGEMENT

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2
Q

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

A

DATA QUALITY

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3
Q

aspects of data quality

A

1) ACCURACY
2) COMPLETENESS
3) UPDATE STATUS
4) RELEVANCE
5) CONSISTENCY
6) RELIABILITY
7) APPROPRIATE PRESENTATION
8) ACCESSIBILITY

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4
Q

can be done to raise the quality of available data

A

DATA CLEANSING

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5
Q

a tool that allows the use of small random samples to distinguish between different groups of data elements (LOTS) with high and low data quality

A

LOT QUALITY ASSESSMENT SAMPLING (LQAS)

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6
Q

LQAS technique has been adopted in the context of what data quality assurance

A

DISTRICT HEALTH INFORMATION SYSTEM (DHIS)

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7
Q

a simplified version of the Data Quality Audit (DQA); allows programs and projects to verify and assess the quality of reported data; aims to strengthen their data management and reporting systems

A

ROUTINE DATA QUALITY ASSESSMENT (RDQA) TOOL

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8
Q

objectives of RDQA

A

1) VERIFY RAPIDLY
2) IMPLEMENT
3) MONITOR

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9
Q

a project management tool that shows how a project will evolve at a high level; helps ensure that a development team is working to deliver and complete tasks on time

A

IMPLEMENTATION PLAN

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10
Q

analyzes information and identifies incomplete or incorrect data

A

DATA QUALITY TOOL

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11
Q

data quality tools

A

1) PARSING AND STANDARDIZATION
2) GENERALIZED “CLEANSING”
3) MATCHING
4) MONITORING
5) ENRICHMENT

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12
Q

ETL stands for:

A

EXTRACT, TRANSFORM, LOAD

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13
Q

integrate profiling, parsing, standardization, cleansing, and matching processes

A

DATA QUALITY MANAGEMENT (DQM)

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14
Q

a class of problem-solving methods aimed at identifying the root causes of the problems or events instead of simply addressing the obvious symptoms; use systematic ways

A

ROOT CAUSE ANALYSIS

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15
Q

practically done by identifying the problem at hand and progressively unveiling the underlying causes by asking “why” five times

A

ASK “WHY” 5 TIMES

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16
Q

technique used to identify the modes in a system failure

A

FAILURE MODE AND EFFECTS ANALYSIS (FMEA)

17
Q

based on the Pareto principle, which states that 20% of the work creates 80% of the results; helpful when there are multiple causes to a problem

A

PARETO ANALYSIS

18
Q

In Pareto Analysis, how many percent of the causes involved in the problem should the table reflect

A

80%

19
Q

diagram shaped like an inverted tree; commonly used in risk analysis and safety analysis; starts by identifying the undesirable result and placing it at the top of the diagram

A

FAULT TREE ANALYSIS

20
Q

in Fault Tree Analysis, root causes of an undesirable event are determined using this logic

A

BOOLEAN LOGIC

21
Q

used to get to the root causes of all problems in a system all at once

A

CURRENT REALITY TREE (CRT)

22
Q

what is the first step in CRT

A

identify the problem

23
Q

are used in charting problems

A

‘IF-THEN’ STATEMENTS

24
Q

other term for Fishbone diagram

A

ISHIKAWA/CAUSE-AND-EFFECT DIAGRAMS

25
Q

Fishbone diagram categorizes the causes into:

A

1) PEOPLE
2) MEASUREMENTS
3) METHODS
4) MATERIALS
5) ENVIRONMENT
6) MACHINES

26
Q

the diagram lists down all the possible causes categorized, with their sub-causes indicated

A

FISHBONE/ISHIKAWA/CAUSE-AND-EFFECT DIAGRAMS

27
Q

4 M’s for

A

MANUFACTURING

28
Q

4 S’s for

A

SERVICE

29
Q

8 P’s for

A

SERVICE

30
Q

also known as ‘rational process’

A

KEEPER-TREGOE TECHNIQUE

31
Q

breaks down a problem to its root cause/s by not only identifying the causes but by appraising the situation as well

A

KEEPER-TREGOE TECHNIQUE

32
Q

RPR

A

RAPID PROBLEM RESOLUTION

33
Q

where designated workers gather data analyze their findings

A

DISCOVER

34
Q

come up with diagnostic plan and carefully analyze the diagnostic data to identify the root cause

A

INVESTIGATE

35
Q

the problem is fixed and continuously being monitored to double check if the correct root cause was determined

A

FIX

36
Q

information culture is determined by the following variables:

A

1) MISSION
2) HISTORY
3) LEADERSHIP
4) EMPLOYEE TRAITS
5) INDUSTRY
6) NATIONAL CULTURE