Busy. Please wait.

show password
Forgot Password?

Don't have an account?  Sign up 

Username is available taken
show password


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.
We do not share your email address with others. It is only used to allow you to reset your password. For details read our Privacy Policy and Terms of Service.

Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
Don't know
remaining cards
To flip the current card, click it or press the Spacebar key.  To move the current card to one of the three colored boxes, click on the box.  You may also press the UP ARROW key to move the card to the "Know" box, the DOWN ARROW key to move the card to the "Don't know" box, or the RIGHT ARROW key to move the card to the Remaining box.  You may also click on the card displayed in any of the three boxes to bring that card back to the center.

Pass complete!

"Know" box contains:
Time elapsed:
restart all cards
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

  Normal Size     Small Size show me how

Data Quality-HIT

The Ten Charactaristics of Data Quality

Data Accuracy Data should represent what was intended or defined by the original source of the data
Data Accessibility Every health records system should allow 24/7 access to authorized users regardless of the format in which the records are stored
Data Comprehensiveness All required data elements should be included in the health record, rendering the record complete.
Data Consistency Reliable data DOES NOT CHANGE, no matter how many times or in how many ways they are stored, processed, or displayed
Data Currency Healthcare data should be up-to-date
Data Timeliness Data should be recorded at or near the time of the event, observation, or service
Data Granularity The data in a health record must be defined in a way that is appropriate for the intended use
Data Precision Acceptable data values or range of values much be precisely defined for each data element, (the expected value)
Data Relevancy Data must be useful
Data Quality Management Model Data Application: the purposes of data collection Data Collection: The processes of data collection Data Warehousing: How data is archived Data Analysis: How data is analyzed and shared
Created by: Lolamer