Unit 4: EHR Formats and Data Flashcards
(37 cards)
Digital Images
Digital X-rays, CT scans, pathology, and annotated drawings
Text files
Word processing files, and transcribed exam notes
Discrete Data
Fielded or coded data (structured data)
Fielded data
each piece of information is stored in an assigned position called a field
Coded data
Fielded data that also contains computer codes (for data mining and retrieval)
needs to adhere to a national standard for optimal interoperability
Data capture
process of recording healthcare-related data in a health record system or clinical database
“garbage in, garbage out”
Ability of the EHR to function properly is dependent upon the quality and accuracy of data capture
Direct data entry
keyboard, mouse, manual, etc.
Hot spot
help message that is triggered when you hover your cursor over a data field
Unstructured data fields
allow for free-text entry.
Ex: description of a procedure performed r a patients description of their medical history
Free-text complicates data retrieval, so structured data is preferred
Structured data fields
guide the user during data entry and limit what can be entered in the field
Radio buttons, drop-down boxes, check boxes, etc.
Drop down menus
offer pre-selected options so data entry is consistent between users and saves time so you don’t have to type out your selection
Check box
allows multiple boxes to be checked
Radio button
When only one of several option is allowed to be chosen
Ex: gender
Numeric field
numbers that can be mathematically manipulated:
Age, weight, height
But not dates
Date fields
allows valid, not correct, dates
Time field
entry of valid times, preventing 26 hours in a day or 70 minutes in an hour, does not ensure the entered time is correct
Auto-numbering
health record numbers are assigned to patients in numerical order
Template based data entry
Cross between free text and structured
ex in a physical exam the field would direct the physician to enter review of symptoms, history of present illness, physical exam, impression, plan, and other required elements
The template helps to ensure that the required categories of data are captured
Speech recognition
Technology that translates audio to text
The text may require editing since software isn’t perfect
Data analytics
the science of examining raw data with the purpose of drawing conclusions about that information, which can then be used to make business decisions concerning services to provide and how to improve patient care
Data analytics categories
descriptive, predictive, and prescriptive
Descriptive data analytics
addresses the past to establish what has already occurred
Predictive data analytics
addresses the future to predict what will likely occur
Prescriptive data analytics
what to do with the information you have learned