HMIS Data Quality Flashcards
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.
Data Quality
Aspects of Data Quality
-accuracy
-completeness
-update status
-relevance
-consistency
-reliability
-appropriate presentation
-accessibility
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.
Routine Data Quality Assessment Tool (RDQA)
The quality of the reported data for key indicators at selct sites
Verify Rapidly
Corrective measures with action plans for strengthening the data management and reporting system and improving data quality
Implement
Capacity improvements and performance of the data management and reporting system to produce quality data
Monitor
is a project management tool that shows how a
project will evolve at a high level.
Implementation Plan
Answers the question “What do you want to accomplish?”
Define Goals/Objectives:
Outline the high level schedule in the implementation phase.
Schedule Milestones:
Determine whether you have sufficient resources, and decide how you will
procure what’s missing.
Allocate Resources:
Create a general team plan with overall roles that each team member will play.
Designate Team Member Responsibilities:
How will you determine if you have achieved your goal? (Smartsheet, 2017).
Define Metrics for Success:
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.
data quality tool
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
Parsing and Standardization
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
Generalized “cleansing”
This is the identification and merging related entries within or across data sets
Matching
refers to the analysis of data to capture statistics or metadata to determine the quality of the data and identify data quality issues
Profiling
The development of controls to ensure conformity of data to business rule set by the organization
Monitoring
Enhancing the value of the data by using related attributes from external sources such as consumer demographic attributes or geographic descriptors
Enrichment
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.
Root Cause Analysis
Root cause analysis is among the core building blocks in the continuous improvement efforts of the organization.
Techniques in Root Cause Analysis
getting progressively deeper into the problem, the root cause can be strategically identified and tackled.
ASK WHY 5 TIMES
is a technique which is aimed to find various modes for failure within a system. FMEA requires several steps for execution:
Failure Mode and Effects Analysis (FMEA)
operates using the Pareto principle (20% of the work creates
80% of the results).
Pareto Analysis
Uses “Boolean Logic” to determine the root causes of an undesirable event. This technique is usually used in risk analysis and safety analysis.
Fault Tree Analysis (FTA)
It would be used when many problems exist and you want to get to the root causes of all the problems.
Current Reality Tree (CRT)
the truth is, that it is a useful technique that will help you in your root cause analysis.
Fishbone or Ishikawa or Cause-and-Effect Diagrams
A fishbone diagram will group causes into categories including:
-People
-Measurements
-Methods
-Materials
-Environment
-Machines
also known as rational process is intended to
break a problem down to its root cause.
Kepner-Tregoe Technique
what are the priorities and orders for concerns
for specific issues?
Appraisal of the situation
it deals with diagnosing the causes of recurrent problems.
RPR Problem Diagnosis
RPR
“Rapid Problem Resolution”
team members gather data and analyze their findings
Discover
a diagnostic plan is created and the root cause is
identified through careful analysis of the diagnostic data
Investigate
the problem is fixed and monitored to ensure that the
proper root cause was identified.
Fix
