1.Artificial intelligence application in hospital pharmaceutical service:a bibliometric analysis
Suqin FU ; Chenye HAO ; Jun PENG
China Pharmacy 2024;35(4):494-499
OBJECTIVE To analyze the current status and trend in the application of artificial intelligence in pharmaceutical service in China and globally. METHODS The research literature on the application of artificial intelligence technology in the field of hospital pharmaceutical service from database establishment to June 16, 2023, was searched in Web of Science and CNKI. The authors, countries/regions, institutions and the co-occurrence, clustering, and emergence of keywords were visually processed and analyzed using tools including Endnote, CiteSpace, and Python. RESULTS & CONCLUSIONS Overall, 1 190 global literature and 178 Chinese literature were included. The number of publications issued in China and globally is increasing year by year, yet a gap remains in the quantity and quality of Chinese research compared with global research. Europe and the United States have built a close cooperation network in this field, while China’s regional development in this field remains imbalanced. Global research hotspots mainly focus on the development and application of high-end technologies such as machine learning, natural language processing, and deep learning; Chinese research concentrates more on actual medical services and medical policies, especially in promoting rational drug use, prescription review, and the development of traditional Chinese medicine.
2.Bibliometric analysis of research on digital health literacy
Chenye HAO ; Jun PENG ; Hui WAN
Shanghai Journal of Preventive Medicine 2024;36(6):611-618
ObjectiveFocusing on digital health literacy, this study elucidated the current research status, focal points, and developmental trends in this field over the past decade through bibliometric analysis and knowledge mapping of relevant papers. MethodsUtilizing software such as CiteSpace and VOSviewer, this study analyzed literature on digital health literacy from 2012 to 2022 retrieved from the Web of Science (WoS) database, employing bibliometric approaches such as keyword co-occurrence, timeline clustering, keyword burst detection, and author collaboration networks. ResultsThe research generally exhibited a continuing upward trend in publication volume; application fields were concentrated in disciplines such as mathematics and medicine; keywords include healthcare, intervention measures, health management, and technological applications. Research in digital health literacy (DHL) has evolved from an early focus on mobile health and behavior change to mid-term focus on health information and internet technology, and more recently to a greater focus on mental health and information technology applications, as well as the application of digital health and mobile technology in health behaviors, reflecting the field’s continuous development towards diversification. ConclusionResearch on digital health literacy is steadily growing and has received widespread recognition and attention from the academic community. With the development of mobile technologies and data science, the field of DHL is expected to make more in-depth research and application breakthroughs in education, scientific research, healthcare, public health, and social welfare.