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NCM 110 > nursing informatics > Flashcards

nursing informatics Flashcards

1
Q

Integration of healthcare sciences, computer science, information science, and cognitive science to assist in the management of healthcare information.
• A subdiscipline of informatics..

A

Health informatics

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2
Q

“The use of computers technology to support nursing, including clinical
practice, administration, education, an d research.”

A

Hebda (1998)

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3
Q

“The development and evaluation of applications, tools, processes, and
structures which assist nurses with the management of data in taking care of patients or supporting the practice of nursing.”

A

American Nurses Association (ANA)

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4
Q

goals of N.I

A

1.improve the health of population, i,f,c
2. establishing effective administrative systems managing
3. delivering educational experiences
4.supporting life long learning
5z supporting nursing research

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5
Q

“The application of computer technology to all fields of nursing-nursing service, nurse education, and nursing research.”

A

(Scholes and Barber, 1980)

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6
Q

Nursing informatics is a combination of nursing science, information science, and computer science to manage and process nursing data, information and knowledge to facilitate the delivery of health care.

A

Graves & Corcoran (1989)

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7
Q

The scientific field that deals with biomedical information, data and knowledge-their storage, retrieval, and optimal use for problem-solving and decision-making.

A

Shortliffe & Perreault

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8
Q

recognized as a specialty for registered nurse by

A

American Nurses Association in 1992

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9
Q

computers can’t but humans can

A
  1. perceive data and information
  2. abstract data and information
    3.make decision that involve values and risk preferences
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10
Q

scope of informations

A
  1. • Data, information, knowledge and wisdom
    • Communication and information management
    • Types, capabilities, and limitations of technology
    • Legal and ethical considerations of information
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11
Q

discrete entities that are described objectively without interpretation,

A

Data

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12
Q

data that are interpreted, organized, or structured

A

Information

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13
Q

information that is synthesized so that relationships are identified and formalized

A

Knowledge

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14
Q

appropriate use of data, information and knowledge in making decisions and implementing nursing actions.

A

wisdom

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15
Q

non-repetitive, non-routine work consuming considerable levels of cognitive activity (Drucker, 1993).

A

knowledge work

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16
Q

nursing informatics can be applied to all areas of nursing practice which include

A

clinical practice
administration
education
research

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17
Q

Nursing informatics general models

A
  1. graves and corcoran
  2. schiwirian
  3. turley
  4. data information knowledge
  5. benner’s novice to expert model
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18
Q

2 specific informatics models

A
  1. philippine health ecosystem model
    2.shift left model
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19
Q

nursing informatics as the linear progression, from data into information and knowledge. Management processing is integrated within each elements, depicting nursing informatics as the proper management of knowledge, from data as it is converted into Information and knowledge.

A

graves and corcoran’s model

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20
Q

nursing informatics involves identification of information needs, resolution of the needs, and attainment of nursing goals/objectives.
proposed a model intended to stimulate and guide systematic research in nursing informatics, model/framework that enables identification of significant information needs, that can foster research (somewhat similar to Maslow’s hierarchy of needs).

A

schiwiran’s model

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21
Q

nursing informatics is the intersection between the discipline-specific science (nursing) and the area of informatics. And in this model, there are 3 core components of informatics, namely Cognitive science, Information science, and Computer science.

A

turley’s model 1996

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22
Q

benner’s level of expertise model

A

novice
advanced beginner
competent
proficient
expert

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23
Q

patient medical record information model (pmri)

A

1.personal health dimension
2. health care provider dimension
3. population health dimension

24
Q

personal health record maintained and controlled by the individual or family: nonclinical information.

A

personal health dimension

25
promotes quality patient care, access to complete accurate patient data 24/7.
health care provider dimension
26
helps stakeholders identify and track health threats, assess population health, create and monitor programs and services, and conduct research.
Population health dimension
27
semiotic triangle
term concept object
28
examines the pattern of acceptance that innovations follow as they spread across population of people who adopt it
Roger's diffusion of innovation theory (unplanned change)
29
describes the processes that occur in a planned change into 3 stages.
Lewin's Change theory (planned change)
30
Lewin's Change theory (planned change) 3 stages
Changing Refreezing Unfreezing
31
Blum's theory 3 group
1. data is processed 2. information is processed 3. knowledge is processed
32
Cognitive science includes mental models, skills acquisition, perception and problem solving that adds an understanding of how the brain perceives and interprets a computer screen.
cognitive theory
33
informatics compentencies level of competency
beginning nurse experienced nurse informatics nurse specialist informatics innovator
34
informatics compentencies 3 areas
computer literacy informatics knowledge informatics skills
35
Roles of the Informatics Nurse Specialist
•Project Management • Consultation • Education • Research • System Development • Decision Support/Outcomes Management • Policy Development • Entrepreneur
36
Electronic Patient Records: Development Constraints
• Need for standards in clinical terminology • Concerns about data privacy, confidentiality and security • Data entry challenges • Integration of records and other information resources
37
Information Needs and Tools for Practice
• Sound Clinical Decision Making • Evidence Based Practice • Standardized Vocabularies • Clinical Information Systems
38
Research Priorities Brennan, Zielstorff, Ozbolt, & Strombom, 1998)
Standardized language/vocabularies Technology development to support practice/ patient care Data base issues Patient use of information technologies Using telecommunications technology for nursing practice Putting technology into practice Systems evaluation issues Information needs of nurses and other clinicians Nursing intervention innovations for professional practice Professional practice issues
39
Assumptions to be Challenged
• Organization of electronic systems - Desktop metaphor - EMR • Chronological structure • Set of processes to be supported by technology
40
nursing and the computer historical perspective
1. six time periods 2. four major nursing areas 3. standard initiatives 4. significant landmark events
41
Six time periods
I. Prior to 1960's II. 1960's III. 1970's IV. 1980's V. 1990's VI. Post 2000
42
4 major nursing areas significance of nursing informatics
clinical practice administration education research
43
Healthcare Information and Management systems Society was founded
1961
44
Development of one of the first hospital Information system in California
1965
45
First Conference on Management Information System
1973
46
First National Conference on Computer Technology in Chicago
1981
47
First Nursing Computer Journal is published.
1984
48
graduate program in Nursing Informatics is introduced in Maryland university
1989
49
establishment of electronic library
1993
50
first International Nursing Informatics Teleconference held in Australia
1995
51
JCAHO identified clinical information system as a way to improve safety and recommends that hospitals adopt technology.
2002
52
Health Insurance Portability and Accountability Act was enacted
2003
53
Establishment of the National Health Information Coordinator.
2004
54
Advantages of N.I
• shared data; • centralized control; disadvantages of redundancy control; • improved data integrity; • improved data security, and database systems; and, • flexible conceptual design.
55
Disadvantages of NI
• a complex conceptual design process; • the need for multiple external databases; • the need to hire database-related employees; • high DBMS acquisition costs; • a more complex programmer environment; • potentially catastrophic program failures; • a longer running time for individual applications; and, • highly dependent DBMS operations.
56
Informatics nurse specialist
- Project manager • Educator • Product developer - Decision support/outcomes manager • Systems analyst • Consultant • Programmer - Advocate/policy developer • Web developer • CIO, CEO, CNO • Entrepreneur • Researcher - Sales and marketing

NCM 110 (7 decks)

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