Unit 4: EHR Formats and Data Flashcards

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
Q

Data integrity

A

The extent to which health care data is complete, accurate, consistent, and timely

About the data itself

26
Q

Data quality

A

reliability and effectiveness of data for its intended uses in operations, decision making, and planning

All about data use

27
Q

Required Fields

A

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
Q

Edit checks

A

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
Q

Data quality management

A

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
Q

Data Cleansing

A

process of checking internal consistency and duplication as well as identifying outliers and missing data

check for errors such as duplicate patients

31
Q

Documentation integrity errors

A

when a revision is made to a report and it is not clear which is the most current version

32
Q

Patient identification

A

If patient A’s info is mistakenly documented in patient B’s record, potentially resulting in serious health problems

33
Q

Authorship

A

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
Q

Dictation errors without editing

A

errors not edited out, incorrect words or medications

35
Q

Copying and pasting

A

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
Q

Amendments to the health record

A

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
Q

Copy and paste concerns

A
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