Overview: In this assignment, you will review ways to achieve semantic interoperability using resources authentic to the HIM field such as data dictionaries, Continuity of Care Documents, and master patient indexes. You will also consider appropriate industry standards to facilitate uniformity of use and apply accreditation standards.

Prompt: In this assignment, you will construct a data dictionary. First, you will consider some of the accreditation standards that are applicable to the creation of a data dictionary. Then, assess what essential information needs to be conveyed in the construction process in order to construct your own data dictionary using the provided template. You will need to evaluate the specific descriptors needed to assist in patient identification, diagnosis, and continuity of care. Use the mock patient record for assistance.

To begin, review the Data Dictionary Template document and Mock Patient Record document, as you will use these documents to complete this assignment.
Specifically, the following critical elements must be addressed:
1. Fill in three or four additional attributes for each of the categories in the data dictionary template. 2. Describe the industry standards that you needed to consider when creating the data dictionary and how you applied these standards. You can use the Joint Commission Data Dictionary Introduction document to respond to this critical element. 3. Using the patient record provided as your data set, determine what content would be most relevant to providers when evaluating this patient record and what would be useful for the exchange. Explain your choices. 4. Explain why including a master patient index (MPI) as an ID for this patient record is important for the continuation of care.

Rubric

Guidelines for Submission: Fill in the data dictionary template with 3 to 4 additional attributes for each category. In a Word document, respond to items 2 through 4. Submit both documents via Brightspace.

Critical Elements Proficient (100%) Needs Improvement (75%) Not Evident (0%) Value Attributes Identifies three or four additional key attributes for each category in the data dictionary template and includes accurate metadata descriptors Identifies three or four key attributes for each category in the data dictionary template but does not include accurate metadata descriptors Does not identify three or four key attributes for the data dictionary template and does not include accurate metadata descriptors 30 Industry Standards Describes industry standards that need to be considered when creating the data dictionary Describes industry standards that need to be considered when creating the data dictionary but with gaps in detail, clarity, or accuracy Does not describe industry standa