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RHIA Domain 3 Exam | Questions And Answers Latest {} A+ Graded | 100% Verified
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RHIA Domain 3 Exam | Questions And Answers Latest {} A+ Graded | 100% Verified
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RHIA Domain 3 Exam | Questions And Answers Latest {2024- 2025} A+ Graded | 100%Verified
Kelly, the CDI specialist, is evaluating the information used by the coding professionals when they need
to code various surgeries. She is particularly interested in the time lag between the actual surgical
procedure and the determination of the pathology diagnosis. In which information system would the
data element "principal procedure" be found? - b. Encoder/grouper
The encoder is specialty software used by coders to select the appropriate code for the diagnosis(es)
and procedure(s) supported by the health record. A grouper is a computer program that uses specific
data elements to assign the diagnostic and procedural codes entered into the encoder into the
appropriate Medicare severity diagnosis-related group (MS-DRG) or other diagnosis-related group (DRG)
(Sayles and Kavanaugh-Burke 2020, 89-90).
The fact that a patient entered data into an EHR via a portal is: - a. Administrative metadata
The provenance (or source) of data is considered a form of administrative metadata. The other choices
relate to metadata, but are not illustrative of any given form of metadata (Amatayakul 2020, 437-438).
HIE ________ is concerned with the establishment of a shared set of behaviors and standards that
enable health information exchange among a HIE's participants. - Governance
Agreeing on standards and how they are to be implemented for successful mapping between systems is
an important part of governance (Lee-Eichenwald 2020, 387).
What type of interoperability addresses the medical words, phrases, and terms used in healthcare and
their definitions so that there is clear and consistent usage among all EHR systems? - c. Semantic
This process involves the use of standardized terminologies, such as SNOMED-CT, to provide clarity,
consistency, and appropriate meaning in HIE (Sayles and Kavanaugh-Burke 2018, 183).
, The term used to describe breaking data elements into the level of detail needed to retrieve the data is:
- a. Normalization
When developing the data elements that go into a database, the fields should be normalized.
Normalization is breaking the data elements into the level of detail desired by the facility. For example,
last name and first name should be in separate fields as should city, state, and zip code (Sayles and
Kavanaugh-Burke 2018, 34).
The process of integrating healthcare facility systems requires the creation of: - c. Enterprise master
patient indexes
Enterprise master patient indexes (EMPIs) provide access to multiple repositories of information from
overlapping patient populations that are maintained in separate systems and databases. This occurs
through an indexing scheme to all unique patient identification numbers and information in all the
organizations' databases. As such, EMPIs become the cornerstones of healthcare system integration
projects (Reynolds and Morey 2020, 132).
To ensure quality of data, the cancer committee reviews the abstracting done by the cancer registry
personnel. This type of reliability check is called: - c. Interrater
Reliability is frequently checked by having more than one person abstract data for the same case. The
results are then compared to identify any discrepancies. This is called an interrater reliability method of
checking. Several different people may be used to do the checking. In the cancer registry, physician
members of the cancer committee are called on to check the reliability of the data (Houser 2020, 571).
Last year, 73,249 people died from diabetes mellitus in the United States. The total number of deaths
from all causes was 2,443,387, and the total population was 288,356,713. Calculate the proportionate
mortality ratio for diabetes mellitus. - d. 3.0
The proportionate mortality ratio (PMR) is a measure of mortality due to a specific cause for a specific
time period. In the formula for calculating the PMR, the numerator is the number of deaths due to a
specific disease for a specific time period, and the denominator is the number of deaths from all causes
for the same time period. The proportionate mortality ratio for diabetes mellitus = 73,249/2,443,387 =
0.03 × 100 = 3.0% (AHIMA 2017, 192; Edgerton 2020, 476).
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