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MHA 705 ACTUAL EVALUATION QUESTIONS WITH ANSWERS GRADED A+ 2025/2026

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Explicit knowledge - is knowledge that is easily communicated and stored (documents and procedures) Tacit knowledge - is personal knowledge that is not easily communicated or stored. (employees experiences, habits and skills) knowledge management - capturing, organizing and storing knowledge and experiences of individual workers and groups within an organization and making this information available to others in the organization. Knowledge production - includes the creation, organization, and storage of knowledge knowledge use - includes the distribution and sharing of knowledge knowledge refinement - includes the evaluation, adaption, and sustainability of knowledge Data dictionary - is a file that defines the organization of the database Documentation - methods and activities of collecting, coding, ordering storing, and retrieving information to fulfill future tasks

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Uploaded on
February 25, 2025
Number of pages
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Written in
2024/2025
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MHA 705 ACTUAL EVALUATION QUESTIONS WITH
ANSWERS GRADED A+ 2025/2026
Explicit knowledge - is knowledge that is easily communicated and stored (documents
and procedures)

Tacit knowledge - is personal knowledge that is not easily communicated or stored.
(employees experiences, habits and skills)

knowledge management - capturing, organizing and storing knowledge and experiences
of individual workers and groups within an organization and making this information
available to others in the organization.

Knowledge production - includes the creation, organization, and storage of knowledge

knowledge use - includes the distribution and sharing of knowledge

knowledge refinement - includes the evaluation, adaption, and sustainability of
knowledge

Data dictionary - is a file that defines the organization of the database

Documentation - methods and activities of collecting, coding, ordering storing, and
retrieving information to fulfill future tasks

MRI consensus workgroup essential principles of healthcare documentation - unique
identification of patient, accuracy, completeness, interoperability, retrievability,
timeliness, and auditability.

10 characteristics of data quality - accuracy, accessibility, comprehensiveness,
consistency, reliability, currency, definition, granularity, precision, relevancy, and
timeliness.

timeliness - critical dimension in the quality of many types of healthcare data

Relevancy - data must be relevant to the purpose for which they are collected

Precision - often relates to numerical data

Granularity - atomicity- which means that the individual data elements cannot be further
subdivided

definition - clear definitions should be provided so that current and future data user will
know what the data mean.

Currency - many types of healthcare data become obsolete after a period of time.

, Accuracy - data that are free errors are accurate

Accessibility - data items should be easily obtainable and legal to access with strong
protections and controls built into the process

Comprehensiveness - all required data items are included- ensures that the entire
scope of the data is collected and document intentional limitations

Consistency/reliability - data quality needs to be consistent and reliable

Patient-centered medical home (PCMH) - is a team-based approach to providing care
for patients that includes a primary care physician who coordinates care across the
entire continuum by engaging with the patient and family so that patient outcomes are
enhanced and the quality of care provided.

Measure application partnership (MAP) - which performance measures that will be used
in public reporting and performance-based payment programs are outlines and
described.

Data map and crosswalk - used to describe the connections, or paths, between
classifications and vocabularies

attributes - are characteristics of the data fields that make up the data-base and may
include a name, a medical record number, an address and such.

Database Management System (DBMS) data dictionary - is developed in conjunction
with development of a specific database.

system catalogs - integrated data dictionaries

a typical data dictionary associated with a DBMS allows for at least documentation of
the following: - table names, all attribute or field names, a description of each attribute,
the data type of the attribute, the format of each, the size, appropriate range of values,
integers, and relationships among attributes

integrity constraints - databases contain rules

data integrity - happens when all of the data in the database confirm to all integrity
constraint rules.

Database integrity constraints include - data type, legal values, format, and key
constraints

data type - data entered into a field should be consistent with the data type for that field

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