Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health...

Area of Science:

• Health Informatics
• Clinical Data Management

Background:

• Increasing adoption of Healthcare Information Exchange (HIE) enables external data integration into Electronic Health Records (EHR).
• Integrating external data presents challenges to maintaining clinical data integrity.
• Failure to validate external data can render it unsuitable for clinical decision-making.

Purpose of the Study:

• To highlight the importance of HIE data adjudication.
• To explain how HIE data adjudication improves clinical data integrity.

Main Methods:

• Data adjudication involves detecting inconsistencies.
• Methods include identifying physiological and temporal incompatibilities.
• Completeness and timeliness of HIE data are also assessed.

Main Results:

• Adjudication processes facilitate corrective actions for data errors.
• Improved data completeness and timeliness are achieved.
• Enhanced clinical data integrity is a key outcome.

Conclusions:

• HIE data adjudication is crucial for ensuring data quality.
• Proactive data validation prevents the use of unfit clinical data.
• Effective adjudication supports reliable EHR data and clinical workflows.