RHIA EXAM 2024
- EVERYTHING
YOU NEED TO
ACE THAT
EXAM!!
Evatee 10/15/24 RHIA
,RHIA EXAM 2024 - EVERYTHING YOU NEED
TO ACE THAT EXAM!!
What are the common types of random samplying? Answer - Simple,
Stratified, Systemic, Cluster
What is Simple random sampling? Answer - Every member of the population
has an equal probability of being selected for the sample
What is stratified random sampling? Answer - Selected by first dividing the
population into subsets or strata, then a simple random sample is selected
from each strata from the sample.
What is cluster random sampling? Answer - The population is divided into
subsets, called 'clusters'. The clusters are then randomly selected. All units
within the randomly selected clusters are included in the sample / Process of
selecting subjects for a sample from each cluster within a population. Example:
A family, school, or community.
What is systemic random sampling? Answer - Method used to determine a
simple random sample. In systemic random sampling every N/nth record is
selected from the population. N is the number of units in the population and n
is the sample size.
What is Qualitative Analysis and why is it conducted? Answer - HIM personnel
carefully review the quality and adequacy of record documentation and ensure
that it is in accordance with the policies, rules, and regulations established by
the facility, the standards of licensing and accrediting bodies, and government
requirements. Can be done concurrently or retrospectively. Qualitative Analysis
,is a more in-depth review of health records than quantitative analysis though
there may be some overlap depending on the facility, This review process looks
at requirements such presence of the H&P examination prior to surgery,
completion of the postoperative note, and many other aspects of the care
process as documented in the health record.
What is Structured Data? Answer - Data that is organized and easily retrievable
and interpreted by traditional database and database models.
What does CDI stand for? Answer - Clinical Documentation Improvement
What is CDI used for? Answer - Clinical documentation improvement is a
process to facilitate the accurate representation of a patient's clinical status in
the patient health record. It is then transformed into coded data. This
information and coded data is then utilized for many purposes in health care.
Used to improve clinical specificity and documentation that will allow coders to
assign more concise disease classification codes.
What are examples and elements of structured data? Answer - - Patients
automated laboratory order
- Laboratory results
*Structured data is coded and alphanumeric. Their fields are predefined and
limited*
Is the health record a primary or secondary data source? Answer - Primary
data source
Registries, reports, and incidences are examples of a primary or secondary data
source? Answer - Secondary data source
, Structured data is has many benefits including: Answer - Completeness, quality
of data, and accessibility. It is highly recommended for data entry. Structured
data may further be broken down into levels of measurement.
Structured data is comprised of: Answer - Values that can be stored as either
numbers or an infinite number of categories. It is organized and easily
retrievable by traditional databases and data models.
Examples of structured data include: Answer - Height, Weight, Age, Gender,
date of birth, MS-DRG.
Unstructured data UNLIKE structured Answer - Cannot be expressed as
numbers or categories.
Examples of unstructured data include: Answer - Clinician notes recorded into
the EHR. Clinician notes are recorded as freeform text and therefore difficult to
use in analyses.
Yes or No questions are examples of what kind of data? Answer - Nominal data
Nominal data is expressed as: Answer - Categories that represent names of
items but do not have a natural order or quantitative value. Label variables.
Examples include: gender(male/female), yes/no questions, names of people,
nationalities, hair color, MS-DRG, Cpt codes, and ICD codes.
Weight is an example of what kind of data? Answer - Ratio/Scale data. It is a
defined unit of measure.
APGAP Scores are an example of what kind of data? Answer - Ordinal data.
Because the order of the numbers in APGAP scores are meaningful.
- EVERYTHING
YOU NEED TO
ACE THAT
EXAM!!
Evatee 10/15/24 RHIA
,RHIA EXAM 2024 - EVERYTHING YOU NEED
TO ACE THAT EXAM!!
What are the common types of random samplying? Answer - Simple,
Stratified, Systemic, Cluster
What is Simple random sampling? Answer - Every member of the population
has an equal probability of being selected for the sample
What is stratified random sampling? Answer - Selected by first dividing the
population into subsets or strata, then a simple random sample is selected
from each strata from the sample.
What is cluster random sampling? Answer - The population is divided into
subsets, called 'clusters'. The clusters are then randomly selected. All units
within the randomly selected clusters are included in the sample / Process of
selecting subjects for a sample from each cluster within a population. Example:
A family, school, or community.
What is systemic random sampling? Answer - Method used to determine a
simple random sample. In systemic random sampling every N/nth record is
selected from the population. N is the number of units in the population and n
is the sample size.
What is Qualitative Analysis and why is it conducted? Answer - HIM personnel
carefully review the quality and adequacy of record documentation and ensure
that it is in accordance with the policies, rules, and regulations established by
the facility, the standards of licensing and accrediting bodies, and government
requirements. Can be done concurrently or retrospectively. Qualitative Analysis
,is a more in-depth review of health records than quantitative analysis though
there may be some overlap depending on the facility, This review process looks
at requirements such presence of the H&P examination prior to surgery,
completion of the postoperative note, and many other aspects of the care
process as documented in the health record.
What is Structured Data? Answer - Data that is organized and easily retrievable
and interpreted by traditional database and database models.
What does CDI stand for? Answer - Clinical Documentation Improvement
What is CDI used for? Answer - Clinical documentation improvement is a
process to facilitate the accurate representation of a patient's clinical status in
the patient health record. It is then transformed into coded data. This
information and coded data is then utilized for many purposes in health care.
Used to improve clinical specificity and documentation that will allow coders to
assign more concise disease classification codes.
What are examples and elements of structured data? Answer - - Patients
automated laboratory order
- Laboratory results
*Structured data is coded and alphanumeric. Their fields are predefined and
limited*
Is the health record a primary or secondary data source? Answer - Primary
data source
Registries, reports, and incidences are examples of a primary or secondary data
source? Answer - Secondary data source
, Structured data is has many benefits including: Answer - Completeness, quality
of data, and accessibility. It is highly recommended for data entry. Structured
data may further be broken down into levels of measurement.
Structured data is comprised of: Answer - Values that can be stored as either
numbers or an infinite number of categories. It is organized and easily
retrievable by traditional databases and data models.
Examples of structured data include: Answer - Height, Weight, Age, Gender,
date of birth, MS-DRG.
Unstructured data UNLIKE structured Answer - Cannot be expressed as
numbers or categories.
Examples of unstructured data include: Answer - Clinician notes recorded into
the EHR. Clinician notes are recorded as freeform text and therefore difficult to
use in analyses.
Yes or No questions are examples of what kind of data? Answer - Nominal data
Nominal data is expressed as: Answer - Categories that represent names of
items but do not have a natural order or quantitative value. Label variables.
Examples include: gender(male/female), yes/no questions, names of people,
nationalities, hair color, MS-DRG, Cpt codes, and ICD codes.
Weight is an example of what kind of data? Answer - Ratio/Scale data. It is a
defined unit of measure.
APGAP Scores are an example of what kind of data? Answer - Ordinal data.
Because the order of the numbers in APGAP scores are meaningful.
