The significant increase in patient data within the healthcare sector has brought about many advantages but has also carried certain challenges in how data are stored, managed, and analyzed. $($Think back to the DIKW pyramid, where we discussed data, information, knowledge, and wisdom$).$ Within the following assignment, you will explore the critical building blocks for developing a data dictionary to support the foundation of a new patient registry. Patient registries are essential in healthcare for tracking specific diseases, diagnoses, or population health issues$*.$ A well$-$structured data dictionary is crucial for capturing, managing, and analyzing data contained in such registries. You will use Microsoft Excel to produce a data dictionary that will serve as the blueprint for your Patient Registry Data Dictionary Project.

$*$Make sure your Patient Registry applies to one of these categories: diseases, diagnoses, or population health issues.

Instructions:

Name for your patient registry

Provide a brief description of the importance of this patient registry

Define any inclusion and exclusion criteria for your registry

Example: If you're writing a metric for pediatric patients, you may want to include patients under $18$ years old and exclude patients older than $18.$

Define the metadata $($characteristics$,$ type, quality$)$

Include a minimum of ten $(10)$ elements, choosing the elements that pertain to the registry structure you are building $-$ Note: these fields should then be defined using the standards noted below

Provide a definition for each data element using the standards in the green bullet points outlined on page $126$ in Zhou and Clack.

In your Excel document, develop a sheet containing each data element's justification and purpose.

Additional points for this assignment are related to formatting, grammar, and spelling