Cognitive Science as a Building Block of Nursing Informatics Flashcards

1
Q

paints a vibrant picture of our mental landscape

A

Cognitive science

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

It examines how we perceive information, store it in memory, manipulate it through thought, and ultimately shape it into knowledge.

A

Cognitive science

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Interdisciplinary field exploring how the mind works

A

Cognitive science

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Attention, memory, language, decision-making, problem-solving

A

Cognitive Processes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Perception, experience, learning, education

A

Knowledge sources

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Applies cognitive science principles to technology design

A

Cognitive Informatics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Optimizes data, information, and technology for nursing practice

A

Nursing Informatics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

is a relatively new area of multidisciplinary study that involves human information processing and how those processes and mechanisms relate to computing and computer application

A

Cognitive Informatics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

The primary goal of cognitive informatics is to

A

develop computing systems that work best with how humans process information, creating more seamless human systems integration

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

are adept at circumventing potential bottlenecks that could hinder human information processing.

A

System designs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

System designs are adept at circumventing potential bottlenecks that could hinder human information processing. These include restrictions in

A

attention span, memory capacity, learning speed, comprehension levels, visualization capabilities, and decision-making prowess.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Understanding how the human brain works is certainly not a recent human endeavor, as noted by ________________, director of the ______________________________________________

A

Yingxu Wang; International Center for Cognitive Informatics.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

three ways that humans model the natural world

A

information processing
matter
energy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

________________________model the physical, concrete world. __________________ is used to model the abstract world of perception and ideas.

A

matter and energy ; Information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

The basis of cognitive informatics is an _______________________ that includes input from areas such as psychology/behavioral science, neuroscience, artificial intelligence and linguistics.

A

interdisciplinary approach

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

The basis of cognitive informatics is an interdisciplinary approach that includes input from areas such as _________________________________________

A

psychology/behavioral science, neuroscience, artificial intelligence and linguistics.

17
Q

can create a set of fundamental theories that create the foundation for information and knowledge-based science and engineering disciplines such as “computer science, cognitive science, neuropsychology, systems science, cybernetics, computer/software engineering, and knowledge engineering,” according to Wang.

A

cognitive informatics

18
Q

Applications:

A

Clinical decision support systems, patient education tools, telehealth platforms

19
Q

It encompasses different techniques, such as machine learning, where computers learn and improve by analyzing data without needing specific instructions.

A

Artificial intelligence

20
Q

a subset of machine learning

A

Deep learning

21
Q

utilizes complex algorithms modeled after the brain’s neural networks, unlocking powerful capabilities for pattern recognition and prediction

A

Deep learning

22
Q

AI simulates

A

human intelligence

23
Q

Machine Learning enables computers to

A

learn without explicit programming

24
Q

is a powerful learning algorithms inspired by the brain’s structure.

A

Deep Learning

25
challenges of AI
ethical considerations, transparency, bias, limited understanding of human emotions
26
Examining the Relationship Between Cognitive Science and AI
Reason 1: AI mimicking human cognition through learning, recognizing patterns, making decisions Reason 2: challenges are ethical considerations, transparency, bias, limited understanding of human emotions, and potential benefits are personalized care, early disease detection, workload reduction
27
potential benefits are
personalized care, early disease detection, workload reduction
28
The Future of Cognitive Science and Nursing Informatics
1. Continuous development 2. Personalized and Predictive Care 3. Collaboration and Ethical Consideration