Data Quality Evaluator

A study independent approach, EMMES Integrity^SM allows data managers to apply business rules at the field, form and study levels, either online or retrospectively to search for data anomalies and inconsistencies in reported outcomes. Each project has a separate environment to maintain data privacy.

Using the language of clinical trials, Integrity generates SAS reports for evaluating, tracking, and reporting data delinquencies and anomalies. The Data Managers create project-specific Quality Control (QC) specification files and corresponding error message files to define the multi-dimensional QC rules for the project's study data. These checks examine data items for a subject within a specific form, across forms for a particular visit, across the same form for a sequence of visits, or any combination of these dimensions. Once an anomaly is identified, it is reported and tracked until it becomes inactive or resolved.

Accurate and up-to-date documentation of a project's QC efforts is readily available. The generated reports are delivered in your file format of choice and/or posted to the project portal. The application provides a standardized technique to perform data quality control across all sites within a protocol.

EMMES Professionals can help you take advantage of these robust application features

• Incorporate commonly used edit checks and templates
• Run any combination of queries interactively
• Import business rules meta-data from your source data collection system
• Import and export data dictionaries and error codes

To learn more about EMMES Integrity^SM data and anomaly identification capabilities contact us today.

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