Abstract:This study examines the effectiveness of green healthcare activities in hospitals based on the total quality management (TQM) framework. The proposed research model and associated hypotheses were tested using structural equations modeling based on the data collected from 261 employees at general hospitals in South Korea. The results of the study revealed that the role of top management is essential for the successful implementation of green healthcare activities through motivating employees for their active pa… Show more
“…In addition, biobanks continuously demand improved efficiency in storage and sustainability [61,62]. To accomplish these requirements, next-generation biobanking will face the green hospital revolution, as a response to the growing concern over resource wasting and environmental damage [63,64]. Digital biobanks will decrease resource usage with the dematerialization of data and samples and reduce energy use by digitalizing data storage and tracking, still providing patients with the best service.…”
Digital Pathology is becoming more and more important to achieve the goal of precision medicine. Advances in whole-slide imaging, software integration, and the accessibility of storage solutions have changed the pathologists' clinical practice, not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis. In parallel with the pathology setting advancement, translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence (AI). Indeed, the increased usage of biobanks' datasets in research provided new challenges for AI applications, such as advanced algorithms, and computer-aided techniques. In this scenario, machine learningbased approaches are being propose in order to improve biobanks from biospecimens collection repositories to computational datasets. To date, evidence on how to implement digital biobanks in translational medicine is still lacking. This viewpoint article summarizes the currently available literature that supports the biobanks' role in the digital pathology era, and to provide possible practical applications of digital biobanks.
“…In addition, biobanks continuously demand improved efficiency in storage and sustainability [61,62]. To accomplish these requirements, next-generation biobanking will face the green hospital revolution, as a response to the growing concern over resource wasting and environmental damage [63,64]. Digital biobanks will decrease resource usage with the dematerialization of data and samples and reduce energy use by digitalizing data storage and tracking, still providing patients with the best service.…”
Digital Pathology is becoming more and more important to achieve the goal of precision medicine. Advances in whole-slide imaging, software integration, and the accessibility of storage solutions have changed the pathologists' clinical practice, not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis. In parallel with the pathology setting advancement, translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence (AI). Indeed, the increased usage of biobanks' datasets in research provided new challenges for AI applications, such as advanced algorithms, and computer-aided techniques. In this scenario, machine learningbased approaches are being propose in order to improve biobanks from biospecimens collection repositories to computational datasets. To date, evidence on how to implement digital biobanks in translational medicine is still lacking. This viewpoint article summarizes the currently available literature that supports the biobanks' role in the digital pathology era, and to provide possible practical applications of digital biobanks.
“…To create a sustainable medical environment through the reduction in and management of medical waste, an appropriate organizational culture must be developed, encouraging the participation of all stakeholders who partake in medical waste generation [ 1 ]. This also requires the involvement and cooperation of all stakeholders, including the various occupations/departments within the healthcare institution, as well as the collaboration of patients, guardians, subcontractors, and communities [ 32 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The detailed contents of these factors can be summarized as follows. The medical industry and environmental protection are closely related [ 1 ]. For example, healthcare institutions that operate emergency and in-patient rooms emit greenhouse gases throughout the day.…”
Section: Literature Reviewmentioning
confidence: 99%
“…On the other hand, they also have drawbacks, such as waste treatment issues with the increased use of disposable products and inequalities due to social and digital divides. In particular, the increased volume of plastic waste due to COVID-19-related practices has significant ramifications that pose challenges with respect to ensuring a sustainable environment [ 1 , 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…Several initiatives and studies have investigated various aspects of medical waste, including the Medical Wastes Act [ 8 ]; treatment methods and the current status of waste management [ 9 , 10 , 11 , 12 , 13 , 14 ]; knowledge, attitudes, and practices of medical staff with respect to medical waste e.g., [ 1 , 15 , 16 ]; and COVID-19-related medical waste e.g., [ 3 , 6 , 17 ]. However, limited research is available on the sources of medical waste (e.g., healthcare institutions).…”
This study examines the importance of medical waste management activities for developing a sustainable green healthcare environment. This study applied a multiple methodological approach as follows. A thorough review of the literature was performed to delineate the factors that have been explored for reducing medical waste; hospital staff who handle medical waste were surveyed to obtain their opinions on these factors; the analytic hierarchy process (AHP) was applied to determine the priorities among the identified key factors; and experts’ opinions were consulted to assess the actual applicability of the results derived by the AHP. The study identified the following factors as the most important: medical waste management (26.6%), operational management issues (21.7%), training for medical waste management procedures (17.8%), raising awareness (17.5%), and environmental assessment (16.4%). This study analyzed the contributing factors to the generation of medical waste based on the data collected from medical staff and the AHP for developing a sustainable green healthcare environment. The study results provide theoretical and practical implications for implementing effective medical waste management toward a sustainable green healthcare environment.
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