Evidence map›Paper›PMID 37332058›Full record

ArticleNursing & health sciences2023

Technological machines and artificial intelligence in nursing practice.

BrianA Vasquez, Rainier Moreno-Lacalle, Gil P Soriano, Phanida Juntasoopeepun, Rozzano C Locsin, Lorraine S Evangelista

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nursing & health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

BrianA VasquezDepartment of Nursing, College of Applied Medical Sciences, Majmaah University, AL-Majmaah, Saudi Arabia.ORCID https://orcid.org/0000-0003-3349-6543
Rainier Moreno-LacalleCollege of Nursing, St. Louis University, Baguio City, Philippines.ORCID https://orcid.org/0000-0002-7844-4424
Gil P SorianoDepartment of Nursing, College of Allied Health, National University Manila, Manila, Philippines.
Phanida JuntasoopeepunFaculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-8807-9512
Rozzano C LocsinFaculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-2952-6538
Lorraine S EvangelistaCollege of Nursing, University of Laws Vegas, Laws Vegas, Nevada, USA.ORCID https://orcid.org/0000-0003-1708-4186

Funding

Fitness Intensive Therapy (Get FIT) to Promote Healthy Living in Older AdultsR21AG053162 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EVANGELISTA, LORRAINE S · 2018 to 2019
$425k
NIA NIH HHS R21 AG053162
6 · The paper itself

Abstract

This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in nursing. One significant influence is technological efficiency which positively affects nursing care time, enabling nurses to focus more on their patients as the core of nursing. The article examines the impact of technology and artificial intelligence on nursing practice in this era of rapid technological advancements and technological dependence. Strategic opportunities in nursing are advanced, exemplified by robotics technology and artificial intelligence. A survey of recent literature focused on what is known about the influence of technology, healthcare robotics, and artificial intelligence on nursing in the contexts of industrialization, societal milieu, and human living environments. Efficient, precision-driven machines with artificial intelligence support a technology-centered society in which hospitals and healthcare systems become increasingly technology-dependent, impacting healthcare quality and patient care satisfaction. As a result, higher levels of knowledge, intelligence, and recognition of technologies and artificial intelligence are required for nurses to render quality nursing care. Designers of health facilities should be particularly aware of nursing's increasing dependence on technological advancements in their practice.

Indexed as

NursesNursing CareRoboticsArtificial IntelligenceHumansTechnologyartificial intelligencecomputational intelligenceIndustry 5.0Life 3.0technological machines

Identifiers

PMID37332058
PMCPMC10528820

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.