HMIS Data Quality, Study notes of Science education

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Maricho Barnachea -Moran RMT Our Lady of Fatima University-Valenzuela College of Medical Laboratory Science

1. Data Quality

2. Routine Data Quality Assessment (RDQA)

3. Data Quality Tools

4. Root Cause Analysis Tools

TOPIC OUTLINE

Data Quality Data quality 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.

Routine Data Quality Assessment (RDQA) The Routine Data Quality Assessment Tool (RDQA) 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. The objectives of RDQA are as follows:

An Implementation Plan has the following key components:

1. Define Goals/Objectives: Answers the question “What do you want to accomplish?” 2. Schedule Milestones: Outline the high level schedule in the implementation phase. 3. Allocate Resources: Determine whether you have sufficient resources, and decide how you will procure what’s missing. 4. Designate Team Member Responsibilities: Create a general team plan with overall roles that each team member will play. 5. Define Metrics for Success: How will you determine if you have achieved your goal? (Smartsheet, 2017).

Data Quality Tools

A data quality tool 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. By maintaining data integrity, the process enhances the reliability of the information being used by a business. Usually these data quality software products can share features with master data management, data integration, or big data solutions. As data quality becomes increasingly all-encompassing, currently, data integration tools usually include data quality management functionality.

What is a Root Cause Analysis?

A root cause analysis 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. The aim is to improve the quality of the products by using systematic ways in order to be effective (Bowen, 2011). Techniques in Root Cause Analysis Root cause analysis is among the core building blocks in the continuous improvement efforts of the organization.

1. ASK WHY 5 TIMES

This might sound like the technique of a five-year-old wanting to get

out of going to bed, but the five whys analysis can be quite useful

for getting to the underlying causes of a problem. By identifying the

problem, and then asking "why" five times - getting

progressively deeper into the problem, the root cause can be

strategically identified and tackled.

3. Pareto

Analysis

The Pareto analysis operates using the Pareto principle (20% of the work creates 80% of the results). You will want to run Pareto analysis any time when there are multiple potential causes to a problem. In order to perform a Pareto analysis, you will create a Pareto chart using Excel or some other program. To create a Pareto chart, you will list potential causes in a bar graph across the bottom - from the most important cause on the left to the least important cause on the right. Then, you will track the cumulative percentage in a line graph to the top of the table. The causes reflected on the table should account for at least eighty percent of those involved in the problem.

5.Current Reality Tree (CRT)

The current reality tree analyzes a system at once. It would be used when many problems exist and you want to get to the root causes of all the problems. The first step in creating a current reality tree is listing all of the undesirables or, problems. Then begin a chart starting with each of those problems using causal language (if...and...then). The tree will depict each potential cause for a problem. Eventually, the tree will show one cause that is linked to all four problems.

Fishbone or Ishikawa or Cause-and-Effect Diagrams

WEEK 6: Health Management Information System

7. Kepner-Tregoe Technique

The Kepner-Tregoe technique, also known as rational process is intended to break a problem down to its root cause. This process begins with an

1. Appraisal of the situation - what are the priorities and orders for concerns for specific issues?

2. The problem analysis is undertaken to get to the cause of undesired events.
3. A decision analysis is tackled, outlining various decisions that must be made.
4. A potential problem analysis is made to ensure that the actions decided upon in step three are sustainable.