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CDW Data Dictionary Variable Element Name Available choices for this data element Definition OUTSOURCE INST Institution GHS, MUST, PH, or SRS Identifier for the institution where a patient was treated.
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How to fill out cdw data dictionary

How to Fill Out CDW Data Dictionary:
01
Start by gathering all relevant information and data that needs to be included in the CDW data dictionary. This includes data sources, data types, data fields, data definitions, and any additional documentation or references.
02
Organize the information into a structured format that is easy to navigate and understand. Use clear headings and subheadings to categorize the data and make it easier to locate specific information.
03
Assign unique identifiers or codes to each data element to ensure consistency and accuracy throughout the data dictionary. This will help in tracking and referencing the data elements across different systems or applications.
04
Provide clear and concise definitions for each data element. This should include a detailed description of the data, its purpose, and any specific rules or constraints associated with it. Use technical terms and terminology that is commonly understood within the organization.
05
Determine the relationships between different data elements, if applicable. This can be done by identifying any dependencies, dependencies on other data elements, or any specific rules or validations that need to be applied.
06
Regularly update and maintain the CDW data dictionary to ensure it remains up to date and accurate. As new data elements are added or existing ones are modified, make the necessary updates in the data dictionary to reflect these changes.
Who Needs CDW Data Dictionary:
01
Data architects and database administrators: These professionals are responsible for designing and maintaining the data infrastructure within an organization. They require a CDW data dictionary to understand the structure and relationships of the data.
02
Data analysts and data scientists: These individuals use data to perform analysis, generate insights, and drive decision-making. A CDW data dictionary helps them understand the meaning and context of the data they are working with.
03
Business users and stakeholders: This includes managers, executives, and anyone else who needs to access and interpret the data. A CDW data dictionary provides them with a clear understanding of the data and helps them make informed decisions based on accurate and reliable information.
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What is cdw data dictionary?
The cdw data dictionary is a document that outlines the structure and meaning of data elements used in a clinical data warehouse.
Who is required to file cdw data dictionary?
Healthcare organizations and institutions that utilize a clinical data warehouse are required to file a cdw data dictionary.
How to fill out cdw data dictionary?
The cdw data dictionary can be filled out by documenting the data elements, their definitions, and any relevant attributes or constraints.
What is the purpose of cdw data dictionary?
The purpose of the cdw data dictionary is to provide a clear and standardized reference for the data stored in a clinical data warehouse, ensuring consistency and accuracy.
What information must be reported on cdw data dictionary?
The cdw data dictionary must report on data elements, definitions, attributes, and constraints used in the clinical data warehouse.
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