LESSON 8: 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.
Signifies the data’s appropriateness to serve its purpose in a given context.

Answer 1

Data Quality

Question 2

Done to raise the quality of available data.

Answer 2

Data Cleansing

Question 3

Widely applied in the health care industry.
Primarily used for quality assurance of products

Answer 3

LQAS

Question 4

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

Answer 4

ROUTINE DATA QUALITY ASSESSMENT TOOL (RDQA)

Question 5

is a project management tool that illustrates how a project is expected to progress at a high level. It is developed through the following key steps

Answer 5

Implementation Plan

Question 6

analyzes information and identifies incomplete or incorrect data. Recently, these tools started to focus on Data Quality Management (DQM), which generally integrate profiling, parsing, standardization, cleansing, and matching processes.

Answer 6

data quality tool

Question 7

Decomposition of fields into component parts and formatting the values into consistent layouts.

Answer 7

Parsing and Standardization

Question 8

Modification of data values to meet domain restrictions.

Answer 8

Generalized “Cleansing”

Question 9

• Identification and merging of related entries within or across data sets

Answer 9

Matching

Question 10

Analysis of data to capture statistics or metadata to determine the quality of data.

Answer 10

Profiling

Question 11

The deployment of controls to ensure conformity of data to business rules set by the organization

Answer 11

Monitoring

Question 12

Enhancement of value of the data by using external sources such as (consumer demographic attributes or geographic descriptors)

Answer 12

Enrichment

Question 13

is a problem-solving method that identifies the root causes of the problems or events instead of simply addressing the obvious symptoms. The aim is to improve the quality of the products by using systematic ways in order to be effective (Bowen, 2011).

Answer 13

root cause analysis

Question 14

Techniques in Root Cause Analysis:

Answer 14

Failure Mode and effect analysis
Pareto analysis
Fault tree analysis
Current reality tree
Fishbone diagram
Kepner-Tregoe technique
Rapid problem resolution (RPR Problem Diagnosis)

Question 15

Aims to find various modes of failure within a system.
Used when there is a new product or process or when there are changes or updates in a product.

Answer 15

Failure Mode and effect analysis

Question 16

Used when there are multiple potential causes to a problem

Answer 16

Pareto analysis

Question 17

Used in risk and safety analysis.
Uses the boolean logic to determine the root causes of an undesirable event.

Answer 17

Fault tree analysis

Question 18

Used when the root causes of multiple problems need to be analyzed all at onced.

Answer 18

Current reality tree

Question 19

A.K.A. Ishikawa or cause-and-effect diagram
Shows categorized causes and sub-causes of a problem
Useful in grouping causes into categories

Answer 19

Fishbone diagram

Question 20

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

Answer 20

Kepner-Tregoe technique

Question 21

Diagnoses the causes of recurrent problems by
Discover
Investigate
Fix

Answer 21

Rapid problem resolution (RPR Problem Diagnosis)

Question 22

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.

Answer 22

Lot Quality Assessment (LQAS