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Wang Y, Cui H, Li L, Cao Y, Qu H, Ailina H, Dou Z, Tang C, Qin W, Wang C, Yang X, Feng S, Liu Y, Han D. Digitalization of prevention and treatment and the combination of western and Chinese medicine in management of acute heart failure. Front Cardiovasc Med 2023; 10:1146941. [PMID: 37304970 PMCID: PMC10248001 DOI: 10.3389/fcvm.2023.1146941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/10/2023] [Indexed: 06/13/2023] Open
Abstract
Digitalization has emerged as a new trend in healthcare, with great potential and creating many unique opportunities, as well as many challenges. Cardiovascular disease is one of the major causes of disease-related morbidity and mortality worldwide, and the threat to life posed by acute heart failure is evident. In addition to traditional collegiate therapies, this article reviews the current status and subdisciplinary impact of digital healthcare at the level of combined Chinese and Western medical therapies. It also further discusses the prospects for the development of this approach, with the objective of developing an active role for digitalization in the combination of Western and Chinese medicine for the management of acute heart failure in order to support maintenance of cardiovascular health in the population.
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Affiliation(s)
- Yingxin Wang
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Herong Cui
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Liwen Li
- School of Acupuncture and Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Yajing Cao
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Hanyun Qu
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Halisi Ailina
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Zhili Dou
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Chuwei Tang
- School of Acupuncture and Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Wanli Qin
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Chenlu Wang
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Xue Yang
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Shixing Feng
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yixing Liu
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Dongran Han
- School of Life Science, Beijing University of Chinese Medicine, Beijing, China
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Padoan A, Plebani M. Artificial intelligence: is it the right time for clinical laboratories? Clin Chem Lab Med 2022; 60:1859-1861. [DOI: 10.1515/cclm-2022-1015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Affiliation(s)
- Andrea Padoan
- Department of Laboratory Medicine , University-Hospital of Padova , Padova , Italy
- Department of Medicine-DIMED , University of Padova , Padova , Italy
| | - Mario Plebani
- Department of Laboratory Medicine , University-Hospital of Padova , Padova , Italy
- Department of Medicine-DIMED , University of Padova , Padova , Italy
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