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Data mapping

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Running head: DATA MAPPING
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DATA MAPPING
College
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DATA MAPPING
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Data Mapping
Data mapping is the process of matching fields from one database to another. Data
mapping requires knowledge of information technology, the data sets being mapped, and project
management, which often requires a diverse team approach. Data is being used for a number of
projects, and while most require a “diverse team approach” the paper calls on HIM professionals
to be closely involved to ensure the integrity of the process and the information obtained. Careful
consideration of liability is required before any mapping between disparate sources is
attempted for healthcare situations.
Health information management (HIM) professionals are frequently involved in planning
and developing data maps that utilize code sets, as there is a need for competency in both the
source and target systems involved in the mapping projects (Ahima, 2013). All installed and
active software maps of any kind must be identified, inventoried, and checked for validity.
Poorly designed and out-of-date mappings create significant data integrity problems in health
information systems.
There is a difference between the data elements and data sets. Data element is defined
by size (in characters) and type (alphanumeric, numeric only, true/false, date, etc.). Data
elements define what is actually recorded in system. A specific set of values or range of values
may also be part of the definition. Whereas Data sets are a collection of numbers or values that
relate to a particular subject. Health care data sets are an important source of information for
understanding health disparities and addressing health inequities in patient populations.
Most health care data captures information about services that individual patients receive during
encounters with the health care system.

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Running head: DATA MAPPING 1 Name DATA MAPPING College Date DATA MAPPING 2 Data Mapping Data mapping is the process of matching fields from one database to another. Data mapping requires knowledge of information technology, the data sets being mapped, and project management, which often requires a diverse team approach. Data is being used for a number of projects, and while most require a “diverse team approach” the paper calls on HIM professionals to be closely involved to ensure the integrity of the process and the information obtained. Careful consideration of liability is required before any mapping between disparate sources is attempted for healthcare situations. Health information management (HIM) professionals are frequently involved in planning and developing data maps that utilize code sets, as there is a need for competency in both the source and target systems involved in the mapping projects (Ahima, 2013). All installed and active software maps of any kind must be identified, inventoried, and checked for validity. Poorly designed and out-of-date mappings create significant data integrity problems in health information systems. There is a difference between the data elements and data sets. Data element is defined by size (in characters) and type (alphanumeric, numeric only, true/false, date, etc.). Data elements define what is actually recorded in system. A specific set of values or range of values may also be part of the definition. Whereas Data sets are ...
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