Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
Coronavirus disease 2019 (COVID-19) is highly contagious, and the route of transmission is dominated by respiratory droplets and contact transmission. At present, the disease prevention and control are difficult. In order to prevent and control COVID-19 and prevent its spread in the hospital, West China Hospital of Sichuan University has set up isolation wards in the center of infectious diseases. The work norms for isolation ward were formulated. This may help to strengthen the prevention and treatment of COVID-19, effectively control the epidemic situation, as well as protect the health and safety of the public and medical staff. This article introduces the specific settings, diagnosis and treatment specifications, and hospital infection prevention and control strategies of the isolation ward of West China Hospital of Sichuan University, shares the work experience of isolation wards, aims to provide a reference for other hospitals to effectively prevent the spread of COVID-19 in hospitals and curb the spread of COVID-19.