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A Practical Approach to Governance and Optimization of Structured Data Elements.

Sarah A Collins¹, Emily Gesner¹, Steven Morgan¹

¹Clinical Informatics, Partners eCare, Partners Healthcare Systems, Boston, MA.

Studies in Health Technology and Informatics

|August 12, 2015

Summary

This summary is machine-generated.

Implementing electronic health record (EHR) clinical content requires robust data governance. A 10-step practical approach optimizes data definitions for EHR systems, ensuring consistency and sustainability with limited resources.

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Area of Science:

Health Informatics
Data Governance
Electronic Health Records

Background:

Enterprise-wide electronic health record (EHR) implementations present significant complexity in defining and configuring clinical content.
Sharing data definitions across EHR applications is often limited by practical constraints such as time, tools, and expertise.
Maintaining rigorous data governance is crucial for the long-term sustainability and consistency of EHR data.

Purpose of the Study:

To define a practical approach for governing structured data elements within EHR implementations.
To optimize data definitions despite resource limitations.
To ensure consistency and sustainability in clinical content configuration.

Main Methods:

A 10-step process was developed, including topic identification, reference model creation and validation, gap analysis, and communication.
Key steps involve scoring downstream data needs, prioritizing topics, and comparing EHRs against reference models.
The process incorporates revision requests, usage evaluation, and ongoing monitoring for new evidence.

Main Results:

The defined approach provides a structured methodology for managing complex clinical content in EHRs.
It facilitates optimization of data definitions by addressing practical limitations.
The 10-step process enables rigorous data governance, improving consistency and sustainability.

Conclusions:

A practical, resource-conscious approach to data governance is essential for successful EHR implementations.
The proposed 10-step process offers a viable framework for optimizing structured data elements and ensuring data quality.
Effective governance of clinical content supports the long-term reliability and usability of EHR systems.