1.The current situation of teleophthalmology on national telemedicine center from 2015 to 2021
Shenzhi LIANG ; Xianying HE ; Yuntian CHU ; Yaoen LU ; Guangming WAN
Chinese Journal of Ocular Fundus Diseases 2022;38(2):153-158
Objective:To observe the demographic data, disease composition and convenience of remote consultation in ophthalmology.Methods:A retrospective study. From 2015 to 2021, the demographic data, changing trends, disease classification of teleconsultation patients, and hospitals participating in teleconsultation, and the waiting time of patients for teleconsultation was analyzed retrospectively; remote consultation physician level composition and other data was analyzed.Results:During the 7-year period, 1 216 patients with remote consultation were obtained through the platform of the telemedicine center. Among them, there were 680 males and 536 females; the average age was 50.8 years. In 2016 and 2017, the number of patients participating in telemedicine consultations reached a peak of 260 and 221 cases, respectively. Among the ophthalmic diseases, there were 490 cases (40.30%, 490/1 216) of retinal and optic nerve-related diseases, 212 cases (17.43%, 212/1 216) of ocular trauma. 678 cases (56.27%, 678/1 205) of remote consultation waiting time were less than 24 hours, 991 cases (82.24%, 991/1 205) were less than 48 hours. Among the physicians who participated in the remote consultation, there were 733 chief physicians (60.3%, 733/1 216) and 466 deputy chief physicians (38.3%, 466/1 216).Conclusions:During the seven-year period from 2015 to 2021, there are relatively few patients with ophthalmology teleconsultation; retinal and optic nerve-related diseases accounted for a high proportion. Remote consultation has high convenience.
2.Analysis of the Changing Trends in the Disease Burden of Cervical Cancer in Major Asian Countries and Globally from 1990 to 2019
Xianying HE ; Zhenbo WANG ; Yuntian CHU
Chinese Journal of Health Statistics 2024;41(4):487-490,496
Objective To analyze the disease burden of cervical cancer in major Asian countries and globally from 1990 to 2019,which help to provide reference for the prevention and control of cervical cancer.Methods We utilized data from the(Global Burden of Disease,GBD)2019 database,and our analysis incorporated key measures such as incidence,deaths and(Disability-Adjusted Life Years,DALY)to quantitatively assess the global impact of cervical cancer.We employed the(Estimated Annual Percent Change,EAPC)to analyze the time trends in the disease burden.Results From 1990 to 2019,the global standardized incidence rate of cervical cancer decreased from 7.64/100,000 to 6.81/100,000,while the standardized death rate decreased from 4.46/100,000 to 3.40/100,000.The standardized DALYrate also decreased from 139.98/100,000 to 107.20/100,000.The annual average reductions were 0.39%,0.96%,and 0.94%,respectively(EAPC<0,P<0.05).Among major Asian countries,China's standardized incidence rate increased from 4.20/100,000 to 5.53/100,000,with an average annual growth of 1.63%(EAPC>0,P>0.05).The number of cervical cancer deaths in China increased from 26,400 to 53,400,representing a relative increase of 1.02 times.While the standardized mortality rate and standardized DALY rate for cervical cancer decreased globally and in major Asian countries,China did not exhibit a declining trend.Relevant analysis revealed no significant correlation between incidence rate and(Socio-Demographic Index,SDI)(ρ=-0.13,P=0.11).However,mortality rate showed a negative correlation with SDI(ρ=-0.74,P<0.001),and DALY also exhibited a negative correlation with SDI(ρ=-0.77,P<0.001).Conclusion The standardized incidence and death rates of cervical cancer in China have been increasing year by year,and the disease burden is on the rise.It is imperative to proactively implement scientifically effective prevention and control measures to reduce the burden of cervical cancer.
3.Evaluation and Analysis of the Operation of Telemedicine Facilities from the Perspective of Medical Institutions and Medical Personnel
Xu ZHANG ; Fangfang CUI ; Yuntian CHU ; Weiyi WANG ; Jie ZHAO
Journal of Medical Informatics 2023;44(11):19-24
Purpose/Significance To investigate the operation status of telemedicine facilities in hospitals of different classifications and the evaluation of medical staff on the operation of facilities,so as to provide scientific basis for further promoting the construction of telemedicine and improving the level of telemedicine services.Method/Process Through an online questionnaire survey,the configura-tion and operation of telemedicine terminals in medical institutions are collected nationwide,and the feedback of medical personnel on the convenience of operation of telemedicine system is investigated.By using SPSS 25.0 software,descriptive analysis method is adopted to evaluate the availability of telemedicine facilities,and variance analysis is used to compare the differences in equipment failure frequency,the operation convenience of telemedicine system and facility evaluation in hospitals of different classifications from the perspective of medical institutions and medical personnel.Result/Conclusion The overall failure rate of telemedicine equipment is low,and the use of telemedicine system is relatively convenient,but the hospital information system is relatively poor to meet the needs of telemedicine,and the telemedicine system connections between different hospitals,as well as the telemedicine infrastructure facilities of primary medical in-stitutions need to be further improved.
4.Ethical reflections on the clinical application of medical artificial intelligence
Fangfang CUI ; Zhonglin LI ; Xianying HE ; Wenchao WANG ; Yuntian CHU ; Xiaobing SHI ; Jie ZHAO
Chinese Medical Ethics 2025;38(2):159-165
Medical artificial intelligence (AI) is a new type of application formed by the combination of machine learning, computer vision, natural language processing, and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies, medical AI has shown great potential in improving the efficiency of diagnosis and treatment, and service quality, but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed, including the lack of algorithmic interpretability and transparency of medical AI, leading to information asymmetry and cognitive discrepancies; the concerning status of security and privacy protection of medical data; and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI, resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests, physician’s subjectivity, fairness and inclusiveness, and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives, including standardizing the environment and processes, clarifying responsibility attribution, continuously assessing the impact of data protection, guaranteeing data security, ensuring model transparency and interpretability, carrying out multi-subject collaboration, as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI, ensuring technological progress while effectively managing and mitigating accompanying ethical risks, thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.