HIM 220 Module Three Worksheet Final

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Apr 3, 2024

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Module Three Worksheet Jill Farrington Southern New Hampshire University
HIM 220 Module Three Worksheet Review the “Real World Case” involving a data dictionary on p. 58 of Introduction to Information Systems for Health Information Technology. Then, answer the following: 1. What is the purpose of the data dictionary and why is it important to create one? A data dictionary is a set of clear and easy-to-understand descriptions of data items that everyone in the system can refer to. It helps different methods to share and transfer information and organize using standardized definitions and data mapping. This makes searching for, identifying, and retrieving patient information easier. Data dictionaries are important because they ensure that data is consistent throughout the organization, which means the data quality is top-notch. By standardizing definitions, providing constant use, and controlling data quality, data dictionaries improve the quality, integrity, documentation, and analysis of data. In short, a data dictionary is essential to prevent duplication, errors, inaccuracies, and inconsistencies in data. 2. How will the data dictionary help improve or address data consistency, data currency, data definitions, data granularity, data precision, data relevancy, and data timeliness? Data consistency –Maintaining data consistency is one of the critical benefits of a data dictionary. By providing standardized definitions and data mapping, a data dictionary ensures that the same data is represented consistently across all documents and systems, reducing the risk of irregularities and duplication. Data currency:  Data currency is an essential aspect of maintaining high-quality data. It refers to the accuracy and timeliness of the data, ensuring that it is updated and up-to-date with the latest information available. Organizations can make informed decisions based on the most accurate and relevant data by providing data currency. This is particularly important in healthcare, finance, and government industries, where decisions can have significant consequences. Therefore, maintaining data currency is crucial to ensure that the information used to make these decisions is reliable and trustworthy. Data definitions:  Standardizing data definitions is an important aspect of preventing confusion. By creating a consistent set of definitions for data items, a data dictionary can help ensure that users across different systems understand and communicate about data
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