5G refers to wireless network technology and has opened up new healthcare possibilities in innovation and expanded access to treatment. 5G is a unified, powerful air interface built with increased capacity to support next-generation user experiences and services. 5G technology is one of the essential technologies for societal digital transformation, and it is also a prerequisite for the interconnection of everything in smart healthcare. Promoting and implementing 5G smart healthcare can reduce inconsistencies in allocating medical resources and expedite medical advancements. This article studied the 5G and its need in healthcare. Smart Principal Features and Serviceable Pillars of 5G Technology for healthcare are discussed briefly. Finally, identify and discuss significant applications of 5G for healthcare. 5G promises to give people more control over their health. With the implementation of 5G, we will most certainly witness the introduction of new medical technology, allowing patients to test and monitor their health from the comfort of their homes. The combination of 5G and Artificial Intelligence (AI) will result in a network of smart devices that connect and, as a result, will broaden the backdrop for decision-making. It also creates new potential for the growth of the internal medical ecosystem. 5G network connection and coverage may be limited in areas with tall and broad trees and buildings. In the future, network operators and medical device makers will collaborate more in smart medical care.
Objective: This paper aims to summarize the development status and clinical application of Chinese patent medicine (CPM) in real-world study (RWS), and provide references for the use of real-world evidence (RWE) in the field of CPM.
Methods: By searching keywords, we searched relevant literature in CNKI, Wanfang Data, PubMed and other databases, and summarized the application and development of RWS in CPM field.
Results and conclusion: Currently, RWS has been frequently used in wide aspects of CPM field, mainly in observational study, including evaluation of effectiveness, safety and economics of CPM based on RWE. This paper reviews the applications above, which will help researchers to have an in-depth understanding of the development status and application characteristics of RWS in CPM field, and express views on the challenges and solutions facing the RWS of CPM, in order to guide and promote the development of the re-evaluation of CPM after marketing.
The spread of COVID-19 across the world, triggered multiple stresses among doctors working tirelessly round the clock to attend sick patients. Doctors had to cope with new environment thereby developing anxiety and fear. The current paper identifies and explores the stress intensity developed among doctors with the aid of multi-criteria decision analysis in doctors working in private and government hospitals of India during COVID-19. After identification of numerous stresses through questionnaire, weights are assigned to common most stress factors by employing AHP method. Furthermore, comparative analysis and prioritization of stress factors is performed with the aid of TOPSIS. The current combined system is a quantitative analysis furnished to establish the feasibility of the methods in weighing and MCDM in stress assessment. This study identifies and predicts the foremost stress factor which needs to be addressed by hospital management to keep doctors with a stable and fresh mindset. This research further establishes a proper MCDM technique which need to be applied in all hospital to regulate and distribute doctors work load without overloading them. Psychological stress is the foremost type of stress reported by multiple doctors. Results showed that lack of balance among personal and professional life followed by lack of communication is highly related problem in doctors in such adverse events.
Aim: Original patented drugs and generic drugs using the same pharmaceutical ingredients may have different clinical efficacies and prices. This study was designed to compare the clinical efficacy and cost-effectiveness of original imported temozolomide capsules and those generic capsules manufactured domestically, with a pharmacoeconomic evaluation being performed.
Methods: In this retrospective study, 103 glioma patients from 2008 to 2018 were divided into the generic temozolomide group (72 cases) and the imported temozolomide group (31 cases). The 2-year overall survival (OS) and disease progression free survival (PFS) of the two groups were analyzed using Kaplan Meier survival curves, and the 2-year disease control rate and 2-year survival rate were calculated. The incidence of adverse reactions was also compared between the two groups. A pharmacoeconomic evaluation was performed on the two groups according to the total cost of treatment per capita.
Results: The 2-year disease control rate of the domestic drug group was 52.8% and the imported drug group was 67.7%. The 2-year survival rate of the domestic drug group was 68.10%, with the imported drug group being 74.20%. The total cost of treatment per patient/2-year PFS time in the domestic drug group was 7000.55 yuan/month; while the imported drug group was 7705.41 yuan/month. The total cost of treatment per patient/2-year OS time in domestic drug group was 5821.20 yuan/month, while the imported drug group was 7035.53 yuan/month.
Conclusion: There was no significant difference between the domestic drug group and the imported drug group in treatment efficacy and the total cost/2-year PFS time of the two groups were not significantly different. However, the total cost/2-year OS time of the domestic group was significant lower than the imported group, revealing a certain cost-effective advantage.
The application of Artificial Intelligence (AI) is rapidly transforming various industries, and the pharmaceutical industry is no exception. AI is increasingly being used to automate, optimize and personalize various aspects of the pharmacy industry, from drug discovery to drug dispensing. In this context, this paper explores the potential of AI to revolutionize the pharmacy industry, by discussing the current and future applications of AI in the industry. We will examine how AI is being used in drug discovery, personalized medicine, drug safety and quality control, inventory management, and patient counselling. We will also discuss the challenges and limitations of AI in the pharmacy industry, such as data privacy, ethical concerns and regulatory barriers. The paper will argue that AI has the potential to revolutionize the pharmacy industry by enabling faster drug discovery, improving patient outcomes, reducing costs, and increasing the efficiency and accuracy of various pharmacy operations. The old pharmacy system relied on manual processes and human decision-making, while the new AI pharmacy system automates routine tasks, provides personalized treatment plans, and reduces costs while improving patient outcomes. However, it is important to ensure that AI is used ethically and responsibly, and that its impact on the workforce and society is carefully considered. The major benefit of integrating AI into specific applications within the pharmacy field is improved accuracy and efficiency in patient care. Overall, this paper will provide an insight into the future of the pharmacy industry, and the transformative potential of AI in this field.
Stress is a societal feature that can impact doctors' ability to help patients manage their own stress. The present study compares the stress levels among doctors from private and government sector. This study employs the Statistical Package for the Social Sciences (SPSS) software to investigate the relationship between occupational stress and employee performance among government and private doctors. The study also examines the sources of occupational stress faced by doctors and how to address them. To ensure the research instrument's reliability and validity, factor analysis and Cronbach's alpha were computed. The resulting data was reduced from 80 to 42 statements. The Kaiser-Meyer-Olkin (KMO) and Bartlett's test of Sphericity were used to determine the instrument's consistency, and the Analysis of Variance (ANOVA) test showed no significant variation in the factors based on different age groups. This indicates that respondents' responses did not conflict, and there were no significant differences between the two groups in terms of the six variables examined. The significant value of the study ranged from 0.087 to 0.898.