Cited by 40Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareArtificial Intelligence Applications

Systematic Review of the Application of Artificial Intelligence in Healthcare and Nursing Care

Open access
Department of Internal Medicine, Hospital Universiti Sains Malaysia, Kelantan, Malaysia, Koo, Thai Hau, Zakaria, Andee Dzulkarnaen, Department of Surgery, Hospital Universiti Sains Malaysia, Kelantan, Malaysia, Ng, Jet Kwan, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Leong, Xue Bin, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia·2024·Malaysian Journal of Medical Sciences

Abstract

This systematic review explores the complex relationship between artificial intelligence (AI) and healthcare, with an explicit focus on nursing care. Examining a range of studies from 2020, the research investigates the impact of AI on clinical decision-making, patient care and healthcare administration. Through a comprehensive literature review, the study highlights the potential benefits of AI integration in improving the efficiency and efficacy of healthcare. AI technologies offer opportunities for personalised patient care, predictive analytics and enhanced clinical processes, with the ultimate aim of transforming the healthcare system. However, ethical considerations and regulatory frameworks are crucial, emphasising patient privacy, autonomy and data security. The findings underscore the need for transparency, accountability and fairness in the application of AI in healthcare. While AI promises to improve patient outcomes and streamline healthcare delivery, careful consideration of ethical implications and regulatory compliance are essential for responsible implementation.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.21315/mjms2024.31.5.9

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • The 18 included studies collectively explored diverse applications of AI in nursing across research, practice, and education.

    “The 18 included studies in this umbrella review collectively explored the diverse applications of AI in nursing across research, practice, and education [32-49].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Department of Internal Medicine, H. U. S. M., Koo, T. H., Zakaria, A. D., Department of Surgery, H. U. S. M., Ng, J. K., School of Medical Sciences, U. S. M., Leong, X. B., & School of Medical Sciences, U. S. M.
Affiliations
  • Hospital Universiti Sains Malaysia (MY)
  • Universiti Sains Malaysia (MY)
Corresponding author
Zakaria, Andee Dzulkarnaen
Venue
Malaysian Journal of Medical Sciences
Published
2024-10-08
Volume
31
Issue
5
Pages
135-142
ISSN
  • 1394-195X (ISSN-L)
  • 2180-4303
OpenAlex
W4403380068
Cited by
40
References
9
Citations by year
2026: 18 · 2025: 22
FWCI
3.74
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Malaysian Journal of Medical Sciences (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • 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 in healthcare, nursing care, clinical decision-making, predictive analytics, health management, patient privacy, data security, AI ethics, regulatory compliance, transparency and accountability

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