HMIS Data Quality

Question 1

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 analytics
system.

Answer 1

Data Quality

Question 2

Aspects of Data Quality

Answer 2

-accuracy
-completeness
-update status
-relevance
-consistency
-reliability
-appropriate presentation
-accessibility

Question 3

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. It also aims to strengthen their data management and reporting systems.

Answer 3

Routine Data Quality Assessment Tool (RDQA)

Question 4

The quality of the reported data for key indicators at selct sites

Answer 4

Verify Rapidly

Question 5

Corrective measures with action plans for strengthening the data management and reporting system and improving data quality

Answer 5

Implement

Question 6

Capacity improvements and performance of the data management and reporting system to produce quality data

Answer 6

Monitor

Question 7

is a project management tool that shows how a
project will evolve at a high level.

Answer 7

Implementation Plan

Question 8

Answers the question “What do you want to accomplish?”

Answer 8

Define Goals/Objectives:

Question 9

Outline the high level schedule in the implementation phase.

Answer 9

Schedule Milestones:

Question 10

Determine whether you have sufficient resources, and decide how you will
procure what’s missing.

Answer 10

Allocate Resources:

Question 11

Create a general team plan with overall roles that each team member will play.

Answer 11

Designate Team Member Responsibilities:

Question 12

How will you determine if you have achieved your goal? (Smartsheet, 2017).

Answer 12

Define Metrics for Success:

Question 13

analyzes information and identifies incomplete or incorrect data. Cleansing such data follows after the completion of the profiling of data concerns, which could range anywhere from removing
abnormalities to merging repeated information.

Answer 13

data quality tool

Question 14

Refers to the decomposition of fields into component parts and formatting the values into consistent layouts based on industry standard and patterns and user-defines business rules

Answer 14

Parsing and Standardization

Question 15

Means the modification of the data values to meet domain restriction, constraints on integrity or other rules that define data quality as sufficient for the organization

Answer 15

Generalized “cleansing”

Question 16

This is the identification and merging related entries within or across data sets

Answer 16

Matching

Question 17

refers to the analysis of data to capture statistics or metadata to determine the quality of the data and identify data quality issues

Answer 17

Profiling

Question 18

The development of controls to ensure conformity of data to business rule set by the organization

Answer 18

Monitoring

Question 19

Enhancing the value of the data by using related attributes from external sources such as consumer demographic attributes or geographic descriptors

Answer 19

Enrichment

Question 20

is a class of problem solving methods aimed at
identifying the root causes of the problems or events instead of simply addressing the obvious symptoms.

Answer 20

Root Cause Analysis

Question 21

Root cause analysis is among the core building blocks in the continuous improvement efforts of the organization.

Answer 21

Techniques in Root Cause Analysis

Question 22

getting progressively deeper into the problem, the root cause can be strategically identified and tackled.

Answer 22

ASK WHY 5 TIMES

Question 23

is a technique which is aimed to find various modes for failure within a system. FMEA requires several steps for execution:

Answer 23

Failure Mode and Effects Analysis (FMEA)

Question 24

operates using the Pareto principle (20% of the work creates
80% of the results).

Answer 24

Pareto Analysis

Question 25

Uses “Boolean Logic” to determine the root causes of an undesirable event. This technique is usually used in risk analysis and safety analysis.

Answer 25

Fault Tree Analysis (FTA)

Question 26

It would be used when many problems exist and you want to get to the root causes of all the problems.

Answer 26

Current Reality Tree (CRT)

Question 27

the truth is, that it is a useful technique that will help you in your root cause analysis.

Answer 27

Fishbone or Ishikawa or Cause-and-Effect Diagrams

Question 28

A fishbone diagram will group causes into categories including:

Answer 28

-People
-Measurements
-Methods
-Materials
-Environment
-Machines

Question 29

also known as rational process is intended to
break a problem down to its root cause.

Answer 29

Kepner-Tregoe Technique

Question 30

what are the priorities and orders for concerns
for specific issues?

Answer 30

Appraisal of the situation

Question 31

it deals with diagnosing the causes of recurrent problems.

Answer 31

RPR Problem Diagnosis

Question 32

RPR

Answer 32

“Rapid Problem Resolution”

Question 33

team members gather data and analyze their findings

Answer 33

Discover

Question 34

a diagnostic plan is created and the root cause is
identified through careful analysis of the diagnostic data

Answer 34

Investigate

Question 35

the problem is fixed and monitored to ensure that the
proper root cause was identified.

Answer 35

Fix