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MHA 705 exam 2 questions and answers graded 2024 $14.49   Add to cart

Exam (elaborations)

MHA 705 exam 2 questions and answers graded 2024

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  • Course
  • MHA 705
  • Institution
  • MHA 705

Content and records management - Systems that enable scanning and indexing of paper documents and other content in digital form; aka enterprise (or electronic) content and records management (ECRM) Data quality - The reliability and effectiveness of data for its intended uses in operations, deci...

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  • September 7, 2024
  • 10
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • MHA 705
  • MHA 705
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MHA 705 exam 2


MHA 705 exam 2 questions and answers
graded 2024

Content and records management - Systems that enable scanning and indexing of
paper documents and other content in digital form; aka enterprise (or electronic) content
and records management (ECRM)

Data quality - The reliability and effectiveness of data for its intended uses in operations,
decision making, and planning

Enterprise information (EIM) - Ensuring the value of information assets, requiring an
organization wide perspective of information management functions; it calls for explicit
structures, policies, processes, technology, and controls

Information - Factual data that have collected, combined, analyzed, interpreted, and
converted into a form that can be used for a specific purpose

Information asset management (IAM) - (Not in glossary)

Information content - (Not in glossary)

Information governance (IG) - (Not in glossary)

Information integrity - The dependability or trustworthiness of information. It concerns
more than data quality or data accuracy—it encompasses the entire framework in which
information is recorded, processed, and used

Information life cycle - The cycle of gathering, recording, processing, storing, sharing,
transmitting, retrieving, and deleting information

Information management (IM) - The acquisition, organization, analysis, storage,
retrieval, and dissemination of information to support decision-making activities

Information science - An automated system that uses computer hardware and software
to record, manipulate, store, recover, and disseminate data (that is, a system that
receives and processes input and provides output); often used interchangeably with
information technology (IT)



MHA 705 exam 2

, MHA 705 exam 2

Information theory - A branch of applied mathematics and electrical engineering and
involves the quantification of information

Stewardship - The responsible management of something entrusted to one's care

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

Attribute - 1. Data elements within an entity that become the column or field names
when the entity relationship diagram is implemented as a relational database
2. Properties or characteristics of concepts

Authorization management - The process of protecting the security and privacy of the
confidential data in a database

Clinical documentation improvement (CDI) - The process an organization undertakes
that will improve clinical specificity and documentation that will allow coders to assign
more concise disease classification codes

Crosswalk - Term that describes the connections, or paths, between classifications and
vocabularies (data map)

Data - The dates, numbers, images, symbols, letters, and words that represent basic
facts and observations about people, processes, measurements, and conditions

Data dictionary - A descriptive list of the data elements to be collected in an information
system or database whose purpose is to ensure consistency of terminology

Data integrity - 1. The extent to which healthcare data are complete, accurate,
consistent, and timely 2. A security principle that keeps information from being modified
or otherwise corrupted either maliciously or accidentally

Data map - Term that describes the connections, or paths, between classifications and
vocabularies (crosswalk)

Data quality model - A managerial process that ensures the integrity (accuracy and
completeness) of an organization's data during data collection, application,
warehousing, and analysis




MHA 705 exam 2

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