CoChat
Sign Up
Cited by 103Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareArtificial Intelligence Applications

Artificial Intelligence and Nursing: The Future Is Now

Clancy, Thomas R.·2020·JONA: The Journal of Nursing Administration
DOI 10.1097/nna.0000000000000855
Open this paper in CoChat — free account

Abstract

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on the application of management strategies in health systems. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. Since writing my 1st article for Managing Organizational Complexity in 2004, much has happened to further our understanding of complexity in healthcare systems. The growth of new computational methods in the fields of data science and data analytics has allowed scientists to identify signals or patterns in large complex data sets (big data) that in the past were seemingly hidden. Rather than relying on historical statistical methods to infer outcomes, these advanced methods combined with increased computer processing power allow machines to learn the structure of data and create artificial intelligence (AI). In our ongoing efforts to find solutions for complex healthcare problems, AI is becoming more and more an accepted method. The purpose of this edition of Managing Organizational Complexity is to define AI and machine learning, discuss the recent resurgence of AI, and then provide examples of how AI can provide value to healthcare with an emphasis on nursing.

Integrity signals

Registry

Crossref · 10.1097/nna.0000000000000855

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Improper introduction of AI technology may lead to stress, anxiety, and the development of negative attitudes among nurses toward such technology.

    “It may lead to stress, anxiety, and the development of negative attitudes among nurses toward such technology if it is not properly introduced.12,15,18”

    From Exploring nurses’ awareness and attitudes toward artificial intelligence: implications for nursing practice (2024) · cites this paper as [12]

  • The conservative attitudes can be explained by nurses' thoughts about changes to their role in practice settings as AI-integrated technology may affect the decision-making process and lead nurses and other healthcare practitioners.

    “This can be explained by the thoughts of nurses about the changes that can be introduced to their role in practice settings as AI-integrated technology may affect the decision-making process and lead nurses and other healthcare practitioners in that. 12”

    From Exploring nurses’ awareness and attitudes toward artificial intelligence: implications for nursing practice (2024) · cites this paper as [12]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Clancy, T. R.
Affiliations
University of Minnesota (US)
Corresponding author
Clancy, Thomas R.
ORCID
Clancy, Thomas R.
Venue
JONA: The Journal of Nursing Administration
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2020-03
Volume
50
Issue
3
Pages
125-127
ISSN
  • 0002-0443 (ISSN-L)
  • 1539-0721
DOI
10.1097/nna.0000000000000855
OpenAlex
W3008038401
Cited by
103
References
3
Citations by year
2026: 16 · 2025: 27 · 2024: 24 · 2023: 16 · 2022: 10 · 2021: 8 · 2020: 2
FWCI
2.69
Type
journal article
Language
en
Open access
closed
Locations
  • JONA The Journal of Nursing Administration (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence, machine learning, nursing, health care system, organizational complexity, complex systems, big data, data analytics, health services administration
MeSH terms
Artificial Intelligence, Humans, Nurse Administrators, Nursing Care, Nursing Staff, Hospital, Efficiency, Organizational

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review