F.7 Data and information attributes Flashcards

Distinguish the key attributes of any type of data and information in relation to their intended or potential use in health.

1
Q

What is an entity?

A

Something that exists with separate, distinct, and objective reality

Examples include a person or a hospital.

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2
Q

What is a data entity?

A

An entity that can have data relating to it

Examples include a person or a hospital represented in a data collection.

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3
Q

Define the term ‘concept’ in health informatics.

A

A generalised abstraction of something that exists in the mind, which examples may represent

Examples include a diagnosis.

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4
Q

What is a data concept?

A

A concept that can have data relating to it

Example: Diagnosis, represented in a data collection.

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5
Q

What is a data object?

A

A data entity or concept with common properties stored and operated upon during the running of a software program

Examples include a person or piece of equipment.

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6
Q

What is an attribute?

A

A property associated with a data entity, concept, or object

Examples include first name, date of birth, gender.

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7
Q

What does the term ‘relationship’ refer to in health informatics?

A

A way in which different data entities, concepts, or objects may be associated

Example: A health service provider is a person.

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8
Q

What are the three types of attributes?

A

Simple, Composite, Derived

Examples: Simple - first name; Composite - full name; Derived - age from date of birth.

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9
Q

What is a single-value attribute?

A

Attributes only captured once

Example: First name.

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10
Q

What is a multi-value attribute?

A

Attributes that can be captured more than once for an entity

Example: Multiple mobile phone numbers.

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11
Q

What is an entity-relationship diagram?

A

A graphical depiction of entities/concepts and their relationships to attributes and other entities/concepts.

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12
Q

What are some principles guiding attribute elaboration?

A
  • Compliance with regulations
  • Restricting attributes to organizational purposes
  • Recognition of sensitive information
  • Representing attributes meaningfully
  • Documenting metadata appropriately.
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13
Q

What metadata is relevant for the specification of attributes?

A
  • Name
  • Description
  • Format
  • Value domain
  • Classification/Terminology/Vocabulary
  • Owner
  • Derivation
  • Source.
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14
Q

True or False: Data and metadata standards facilitate effective use of data.

A

True.

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15
Q

What is the value of adopting data standards in health informatics?

A

Facilitates effective use of data, efficiency in development and collection, ensures data quality, and promotes data sharing and reuse.

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16
Q

Fill in the blank: An official terminological system recognized and endorsed by a national or international body used to classify data is called _______.

A

[terminological system].