How data quality is improved by the use of terminologies

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Reference no: EM13823767

Data Analytics and Information Governance

Competency: Data Quality Assessment and Integrity - The graduate applies key concepts and skills related to data quality and integrity and maintains health informatics standards and organizational policies in healthcare organizations.

Introduction:

Health informatics professionals are responsible for promoting and maintaining data quality standards. As organizations continue to adopt information systems for managing health information, the implementation of standardized clinical vocabularies and terminologies will change how health information is exchanged across the continuum. In this task, you will locate three journal articles that discuss how the use of standardized clinical vocabularies and terminologies will support data quality requirements for the health record and success of health information exchange among organizations and within geographic regions.

Task:

A. Create an annotated bibliography of three journal articles that meet the following requirement:

• Journal articles must be from scholarly, professional journals. This includes professional journals from the medical field, allied health professions, information technology, and healthcare informatics.

B. Discuss in your annotated bibliography (suggested length of two paragraphs per article) how the articles you selected address data quality.

Suggested data quality topics may include but are not limited to the following:

• How data quality is improved by the use of standardized terminologies

• How data quality requirements may be included in organizational policies or processes

• How clinical documentation improvement and data quality are related

• How data quality is important to a nationwide health information network (NwHIN) or large health information exchanges.

• Why data quality is critical to gathering statistical data (such as for public health reports, disease registries, or other large-scale needs)

• Why data quality is important to reporting for Meaningful Use.

Reference no: EM13823767

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