The document outlines the requirements for a paper discussing the importance of data quality in the electronic health record (EHR) implementation process. It emphasizes the need for high-quality data and provides examples of maintaining this quality, including avoiding duplication and tracking errors. Additionally, it requests a description of three characteristics of quality data and requires citations from at least two references in APA format.

1. Due 10/15/16 @8:00 a.m. 100% Original with at least 2
references APA format 400-600 words
As part of the electronic health record (EHR) implementation
process, it is necessary to ensure that the quality of data in the
current systems is of high quality. Complete the following:
Discuss the importance of data quality, and give 3 examples of
how to ensure quality data. (Examples include no duplication,
no missing data, no data errors, and so on.)
What can be done to keep quality data? (Examples include
tracking errors, tracking problems, consistency checks, and so
on.)
Describe 3 characteristics of quality data that include the
following: relevancy, granularity, consistency, accuracy,
comprehensiveness, accessibility, timeliness, precision, and
currency.
Be sure to support your information by citing at least 2
references using APA format.