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C810 - Study Set 6 Questions & Answers

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C810 - STUDY SET 6 QUESTIONS & ANSWERS

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C810 - STUDY SET 6 QUESTIONS & ANSWERS

claims data from the UB-04
discharge abstracted data including the UHDDS
ambulatory care centers - Answer -The source of data for the Healthcare Cost and
Utilization Project are?

NPDB - Answer -The ____________ was developed to address the lack of information
on malpractice decisions, denial of medical staff privileges, or loss of medical licence.
The law requires healthcare facilities to query the database as part of the credentialing
process when a physician initially applies for medical staff privileges and every two
years thereafter.

Healthcare Integrity and Protection Data Bank - Answer -The
__________________________ was developed because there was no central
repository for information on healthcare fraud and abuse. The data bank was mandated
by the Health Insurance Portability and Accountability Act of 1996.

abstracting - Answer -The process of reviewing the patient health record and entering
the required data elements into the database.

Data stewardship - Answer -_________ is the responsible management of data during
managing, viewing, storing, sharing, and disclosing tasks.

The patient health record is shifting into database - Answer -Into what format is the
patient health record shifting?

Timeliness and accuracy are listed in both AHIMA's data quality model and the MRI
essential principles of documentation - Answer -What data quality characteristics are
listed in both AHIMA's data quality model and the MRI essential principles of
documentation?

One difference is that AHIMA strives to include all healthcare data and limits
characteristics to clinical documentation.

There are 9 essential principles for MRI
There are 10 characteristics of data quality in the AHIMA model - Answer -What is the
major difference between AHIMA's data quality model and the MRI essential principles
of documentation? Are they compatible with one another?

Data dictionary - Answer -is a set of descriptions of data items in a data model for
reference for systems users. It serves to promote data quality through data consistency
across the organization. Individual data element definitions are agreed upon and
defined. This leads to better quality data and facilitates the detailed, technical data
dictionaries that are integrated with the databases themselves.

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