Cited by 38Artificial Intelligence in Healthcare and EducationGeriatric Care and Nursing HomesHealthcare Technology and Patient Monitoring

Artificial intelligence‐based intelligent surveillance for reducing nurses' working hours in nurse–patient interaction: a two‐wave study

Huang, Kai, Jiao, Zeyu, Cai, Yingjie, Zhong, Zhenyu·2022·Journal of Nursing Management

Abstract

AIM: To explore the feasibility of applying artificial intelligence in nurse-patient interaction to assist nurses in grasping patient status and reducing their working hours. BACKGROUND: Artificial intelligence has been reshaping the health care industry and has immense potential in nursing care, but there is still a lack of suitable artificial intelligence methods to improve the efficiency of the nurse-patient interaction that takes much time of nurses. METHODS: An artificial intelligence-based intelligent surveillance system was developed to reduce nurses' working hours in nurse-patient interaction, and a two-wave follow-up design was adopted in this study. The data were collected in a nursing home in Guangzhou, China. The first and second waves of data were recorded in the same format on the same patients by the same nurses. The only difference is the deployment of artificial intelligence technology between the two waves of data. RESULTS: Artificial intelligence-based intelligent surveillance can provide statistical health data for nurses to grasp the patients' status more intuitively, reducing the average nurse-patient interaction time per patient from 18 to 10 min. In addition, artificial intelligence's real-time response to the abnormal health status of patients not only avoids more serious secondary injuries for patients but also prevents nurses from consuming energy in detecting emergencies. CONCLUSION: The application of artificial intelligence has great potential to reduce nurses' working hours in nurse-patient interaction. There are still many limitations in artificial intelligence technology at this stage, and it is not feasible to completely rely on artificial intelligence. However, as a tool to assist decision-making, it can still have beneficial impacts on nursing management. IMPLICATIONS FOR NURSING MANAGEMENT: Artificial intelligence has great potential in daily nurse-patient interaction, and nursing facility managers and nurses need to be more open to this new technology.

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Crossref · 10.1111/jonm.13787

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Authors
Huang, K., Jiao, Z., Cai, Y., & Zhong, Z.
Affiliations
  • Guangdong Academy of Sciences (CN)
  • Chinese University of Hong Kong (HK)
Corresponding author
Jiao, Zeyu
Venue
Journal of Nursing Management
Publisher
Wiley
Published
2022-09-27
Volume
30
Issue
8
Pages
3817-3826
ISSN
  • 0966-0429 (ISSN-L)
  • 1365-2834
OpenAlex
W4294542030
Cited by
38
References
43
Citations by year
2026: 8 · 2025: 16 · 2024: 12 · 2023: 2
FWCI
2.26
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Nursing Management (publishedVersion)
  • PubMed (publishedVersion)
Funders
Guangzhou Municipal Science and Technology Project (202007040007)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › General Health Professions › Geriatric Care and Nursing Homes
  • Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Keywords
artificial intelligence, intelligent surveillance, nurse-patient interaction, nursing workload, nursing homes, real-time patient monitoring, emergency detection, nursing decision-making, nursing management
MeSH terms
Artificial Intelligence, Health Status, Humans, Nurse-Patient Relations, Nurses, Nursing Care

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