A new EHR is going to be purchased for the physician group practice you manage. Use two (2) of the characteristics of data quality from AHIMA’s Data Quality Model (below) and how

A new EHR is going to be purchased for the physician group practice you manage. Use two (2) of the characteristics of data quality from AHIMA’s Data Quality Model (below) and how would you incorporate those characteristics into the EHR to support patient care decisions.
Data Accuracy: The extent to which the data are free of identifiable errors
Data Accessibility: The level of ease and efficiency at which data are legally obtainable, within a well protected and controlled environment
Data Comprehensiveness: The extent to which all required data within the entire scope are collected, documenting intended exclusions
Data Consistency: The extent to which the healthcare data are reliable, identical, and reproducible by different users across applications
Data Currency: The extent to which data are up-to-date; a datum value is up-to-date if it is current for a specific point in time, and it is outdated if it was current at a preceding time but incorrect at a later time
Data Definition: The specific meaning of a healthcare-related data element
Data Granularity: The level of detail at which the attributes and characteristics of data quality in healthcare data are defined
Data Precision: The degree to which measures support their purpose, and/or the closeness of two or more measures to each other
Data Relevancy: The extent to which healthcare-related data are useful for the purposes for which they were collected
Data Timeliness: The availability of up-to-date data within the useful, operative, or indicated time