Artificial Intelligence – An Innovation in Nursing Care

Authors

  • Ratthaya Kimura Siriraj Hospital
  • Papiroon Noitasaeng Siriraj Hospital
  • Phongthara Vichitvejpaisal Siriraj Hospital

Keywords:

Telemedicine, Nursing care, Artificial intelligence, Virtual nursing assistant

Abstract

Artificial intelligence is a rapidly developing technological innovation that has the potential to improve patient care in various professional fields. Alongside physicians’ diagnosis and treatment, nurses also need to be trained in the techniques of using artificial intelligence thoroughly to ensure accountability, responsibility, and the safety of patient data for reduce a human error and manage an electronic medical database systems aiming to increase the quality of nursing care.

Predictive analysis using artificial intelligence can aid in clinical decision making for early diagnosis, prevent risk factors and virtual nursing assistants can use internet-based communication to project video images with sound to provide advice to patients and their families or monitor patients who are far from the hospital. Especially during the outbreak of the COVID-19 virus. Medical robots can assist in surgeries with precision than traditional surgery. Which is under the code of professional standards to keep patients safety and maintain data privacy.

However, the integration of artificial intelligence is still a challenge that nurses must be aware of, and efforts must be made to ensure collaboration from all personnel to maintain patient confidentiality and privacy. Transparency, non-disclosure, freedom from bias, and responsibility are essential to improve the quality of patients’ nursing care, allowing them to return to a happy life with their families.

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Published

10-12-2023

How to Cite

1.
Kimura R, Noitasaeng P, Vichitvejpaisal P. Artificial Intelligence – An Innovation in Nursing Care. J Royal Thai Army Nurses [Internet]. 2023 Dec. 10 [cited 2024 Apr. 27];24(3):15-22. Available from: https://he01.tci-thaijo.org/index.php/JRTAN/article/view/263603

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Section

Academic articles