Unit 4: EHR Formats and Data Flashcards

(37 cards)

1
Q

Digital Images

A

Digital X-rays, CT scans, pathology, and annotated drawings

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2
Q

Text files

A

Word processing files, and transcribed exam notes

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3
Q

Discrete Data

A

Fielded or coded data (structured data)

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4
Q

Fielded data

A

each piece of information is stored in an assigned position called a field

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5
Q

Coded data

A

Fielded data that also contains computer codes (for data mining and retrieval)

needs to adhere to a national standard for optimal interoperability

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6
Q

Data capture

A

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

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7
Q

Direct data entry

A

keyboard, mouse, manual, etc.

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8
Q

Hot spot

A

help message that is triggered when you hover your cursor over a data field

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9
Q

Unstructured data fields

A

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

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10
Q

Structured data fields

A

guide the user during data entry and limit what can be entered in the field

Radio buttons, drop-down boxes, check boxes, etc.

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11
Q

Drop down menus

A

offer pre-selected options so data entry is consistent between users and saves time so you don’t have to type out your selection

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12
Q

Check box

A

allows multiple boxes to be checked

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13
Q

Radio button

A

When only one of several option is allowed to be chosen

Ex: gender

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14
Q

Numeric field

A

numbers that can be mathematically manipulated:
Age, weight, height
But not dates

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15
Q

Date fields

A

allows valid, not correct, dates

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16
Q

Time field

A

entry of valid times, preventing 26 hours in a day or 70 minutes in an hour, does not ensure the entered time is correct

17
Q

Auto-numbering

A

health record numbers are assigned to patients in numerical order

18
Q

Template based data entry

A

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

19
Q

Speech recognition

A

Technology that translates audio to text

The text may require editing since software isn’t perfect

20
Q

Data analytics

A

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

21
Q

Data analytics categories

A

descriptive, predictive, and prescriptive

22
Q

Descriptive data analytics

A

addresses the past to establish what has already occurred

23
Q

Predictive data analytics

A

addresses the future to predict what will likely occur

24
Q

Prescriptive data analytics

A

what to do with the information you have learned

25
Data integrity
The extent to which health care data is complete, accurate, consistent, and timely About the data itself
26
Data quality
reliability and effectiveness of data for its intended uses in operations, decision making, and planning All about data use
27
Required Fields
a preset field in which data must be entered before the information system will allow the user to proceed Some fields may allow user override Required fields are the main reason EHRs are preferred over paper to avoid missing relevant data or information
28
Edit checks
Pre-programmed definitions of each data field set up within the application Sometimes called flags Checks for illogical data such as a patients gender not matching a gender specific procedure (ask about trans patients?) ex: prevent a user from entering a body temp of 254C blood pressure as 543/87 flag as illogical
29
Data quality management
the business processes that ensure the integrity pf an organization's data during collection, application, warehousing, and analysis collection refers to how data is gathered application is the reason for data gathering Warehousing refers to data storage Analysis refers to converting data to information
30
Data Cleansing
process of checking internal consistency and duplication as well as identifying outliers and missing data check for errors such as duplicate patients
31
Documentation integrity errors
when a revision is made to a report and it is not clear which is the most current version
32
Patient identification
If patient A's info is mistakenly documented in patient B's record, potentially resulting in serious health problems
33
Authorship
Data entry attributed to the individuals who recorded it. Important for tracking origin of mistakes and errors, legal purposes, also use of electronic signatures
34
Dictation errors without editing
errors not edited out, incorrect words or medications
35
Copying and pasting
Copy and paste speeds up data entry, but can accidentally be pasted into the wrong health record or not be correctly updated during a new visit for the correct patient
36
Amendments to the health record
Files should be locked to changes and have to be unlocked to make amendments to prevent carryover info from incorrect patients Erroneous info should not be deleted but rather indicated and corrected with an indication as to who made the correction and when to keep a more complete record of mistakes for quality tracking and improvements Alternate versions of documents are the best way to do this, but must clearly indicate which is the most recent/up to date Previous versions can be important in court cases
37
Copy and paste concerns
``` nullified entry entire record can be suspect health care practitioners may not notice extra or missing information if copying large amounts of text misrepresentation of a case patient harm fraudulent reimbursement claims ``` There must be checks and balances on copy paste, data integrity is ultimately more important that data entry speed