Using the Data Quality Accelerator for Crisis Response

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Introduction

The Data Quality Accelerator for Crisis Response can help you meet the challenges that medical crises and emergency management bring to data handling and decision making. The accelerator adds business rules to your Informatica environment that speed up data analysis, improve data quality, and enable you to track patients, diagnoses, outcomes, and healthcare issues.

The rules address the most common data quality issues, with a focus on issues that can arise in healthcare and patient management. Use the rules to quickly implement a data quality strategy that can make your data more reliable and useful. The rules are ready to use out of the box. You can customize the rules to suit your data requirements.

The Crisis Response Accelerator includes rules that perform the following tasks:

Discover

Discover facts about your data - for example, determine the levels of completeness in your columns, and establish the conformity of the column data to the structures and types of data that you expect.

Standardize and cleanse

Standardize the form and structure of common data values, such as dates, telephone numbers, Social Security numbers, and country identifiers. Additionally, standardize the use of character case and diacritic characters in the data. You can also remove extraneous symbols, characters, and character spaces from the data.

Calculate and identify

Calculate and derive a range of facts from your source data, including patient age, gender, time elapsed since diagnosis or other milestones, physical distance from a given location, and presence within a given target area.

Parse

Parse important data values from fields that contain strings or multiple values. For example, parse telephone numbers, CPT codes, comorbidity factors, Social Security numbers, and healthcare facility types from source data fields, and write each type of value to a discrete new field.

Match

Identify records that contain significant duplicate information, so that you can fix or remove the duplicate records. Match rules analyze the information that the records represent and therefore can find duplicates when records are non-identical.

Validate

Verify that your data is accurate or present in the expected form. You can validate medical data, such as principal diagnoses, CPT codes, and ICD-10 data. You can also validate common business and personal data, such as patient ages, state names, and ZIP codes.

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Table of Contents

Using the Data Quality Accelerator for Crisis Response

Using the Data Quality Accelerator for Crisis Response

Introduction

Introduction