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Assignment Introduction: Imagine you are an HIM Compliance Manager for a large hospital system, and


Assignment Introduction: Imagine you are an HIM Compliance Manager for a large hospital system, and you are responsible for the integration of new clinical data into your existing electronic health record (EHR). During your research of clinical process modeling, you learned about how healthcare data sets and dictionaries are used in the hospital settings. For example, hospitals utilize the Uniform Hospital Discharge Data Set (UHDDS) which is considered a core data set for hospital reporting. The UHDDS contains a data dictionary where the principal diagnosis, a data element, is defined along with its allowable value, an ICD-10 CM code.

Assignment Direction: Based on your knowledge, create a data integration strategy that will ensure data are in a format that will satisfy the hospital’s integration needs. In addition, the hospital system recently added several, new applications to complement their Electronic Health Record (EHR). One of the applications is Computer Assisted Coding where Natural Language Text Processing (NLP) will be applied. Voice Recognition and document imaging will also be applied as innovative data capture applications. Utilize this unit’s readings and other resources found on the internet and the Library.
Your data integration strategy should be 8 pages in length and cover all of the following elements:
Ensure the standardization of data dictionaries to meet the needs of the enterprise.
Establish data architectural models for the enterprise.
Apply data capture technologies: Natural Language Text Processing (NLP),
voice recognition, and document imaging.
Demonstrate applicable clinical data standards theory and development.
Ensure data are in a format that will satisfy data integration needs:
Decision support
Legacy systems
Describe clinical data and clinical process modeling:
UML-Unified Modeling Language
UP-Unified Process
Develop enterprise wide policies and procedures for collection, use, and maintenance of health care data.
Enable decision-makers to use data


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