At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reas...At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many reasons.According to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among others.It is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the same.It is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.展开更多
Health sector organization is discussed in many countries of the world. Organization of sectors of the society is a complex issue. It may look difficult where to start and how to navigate through an analysis of health...Health sector organization is discussed in many countries of the world. Organization of sectors of the society is a complex issue. It may look difficult where to start and how to navigate through an analysis of health sector organization. The objective is to present an approach to analysis for change in health sector organization that can result in a broad information basis for choice of new organization. A process based framework to analysis for change in health sector organization was designed. The three major stages of the process are： solving problems by smaller change in organization, smaller or major change in organization and major change in organization. Major change in sector organization has the steps： change in sector organization type, number and bordering of geographic subunits, choice of accountability structure, network organization, internal health sector organization and plan for the change process. A new way for how to perform analysis for change in health sector organization is described. With the approach, improved overall information is likely to be achieved. It can be applied as a first step by countries considering new organization of the health sector. It should be followed up by selecting specific organizational alternatives for more detailed analysis. The described framework can help navigating through analysis for choice of future health sector organization.展开更多
Background: Attrition of health professionals from public health sectors is found to be a barrier to effectiveness of health systems and to provide essential health service to population. In Ethiopia, the public healt...Background: Attrition of health professionals from public health sectors is found to be a barrier to effectiveness of health systems and to provide essential health service to population. In Ethiopia, the public health system is the major provider of health care service to the people. In particular, the poor segment of community uses public hospital, health centers and clinic, since the private health facilities are inaccessible and unaffordable to them. The aim of this study was to determine the magnitude and factors associated with health professionals’ attrition from public health sectors in Bahir Dar city. Methods: A Facility based cross-sectional study was conducted in September-October 2012. All inclusive sampling techniques of five years document reviews were used to select 727 health professional documents. Quantitative and qualitative data were collected using structured questionnaires and indepth-interview guides respectively, by trained data collectors. Descriptive statistics (frequencies, proportion and chi square test) were used to describe the study population in relation to relevant variables. To identify independent predictors of attrition, only variables that were statistically significant during bivariate analysis were entered into multiple logistic regression models to control the effects of confounders. Pvalues sex, marital status, educational status, workplace, current salary, professional category and work experience were the main factors associated with health professionals’ attrition from public health sectors. Conclusion: The findings showed that the level of health professionals’ attrition is high in the study area. Policy makers and health mangers should design appropriate retention strategies for health professionals at public health sectors in terms of most associated factors with attritions of health professionals to reduce the prevalence of health professionals’ attrition from public health sectors in collaboration with development partners and concerned body.展开更多
At the Plant of Production of Radioisotopes part of Nuclear Center of Mexico （ININ）, weekly radiofarmaceutics of sodium iodohippurate and meta-iodobenzyl-guanidine are prepared, these compounds are known as marked m...At the Plant of Production of Radioisotopes part of Nuclear Center of Mexico （ININ）, weekly radiofarmaceutics of sodium iodohippurate and meta-iodobenzyl-guanidine are prepared, these compounds are known as marked molecules with iodine-131. Currently the processes for the preparation of these compounds are carried out individually and in manual form, in box of gloves, presenting radiological risks. To avoid these risks, this work, shows equipment that is inside a warm cell with the finality of minimizing the radiological risks. Also, this semi-automated equipment has the purpose of to reduce the radiation exposure of personnel involved in the process of marking molecules. The routine industrial production with this equipment starts with the preparation of 9 marked doses of sodium iodohippurate of 2.73 mCi of iodine-131, each of the vials with saline solution of 4.5 mL and the product that containing the marked molecules of 0.5 mL with a percentage of marked of 95.6%. The innovation of this work consists in presenting a new design of equipment, for marked molecules, formed by electrical, mechanical, vacuum systems, and air extraction system.展开更多
This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn...This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn in the face of digital disruption.The research uses a quantitative approach focusing on empirical customer data to accurately predict buying trends and adapt marketing techniques.Demand forecasts in the health sector are important,as in every sector.In particular,the material forecast and stock forecasting of the purchasing unit of hospitals are among the areas that receive significant attention.Four classifiers(Random Forest,Logistic Regression,Gradient Boosting and XGBoost)are trained and evaluated using various performance indicators as part of a systematic approach involving Kaggle data collection,preparation and model selection.The results show excellent accuracy in predicting customer attrition,but there are limitations in precision and recall,indicating room for improvement.Confusion matrices provide information about the performance of each classifier,allowing for continuous improvement of predictive analytics techniques.Ethical concerns are rigorously addressed throughout the work process to guarantee appropriate data and machine learning methodologies.The proposals emphasize the proactive use of predictive analytics to identify at-risk customers and implement targeted retention strategies.Incorporating new data sources,improving customer experience,and utilizing collaborative churn management methods are recommended to increase forecast accuracy and business outcomes.Finally,this research provides important insights into the usefulness of predictive analytics for customer churn forecasting as well as practical recommendations for businesses seeking to increase customer retention and reduce churn risk.By leveraging empirical research findings and implementing ethical and rigorous churn control strategies,businesses can achieve long-term success in today’s changing market environment.展开更多
The strategic role of health care within the Brazilian development agenda has been increasingly recognized and institutionalized. Aside from its importance as a structural element of the Welfare State, health care pla...The strategic role of health care within the Brazilian development agenda has been increasingly recognized and institutionalized. Aside from its importance as a structural element of the Welfare State, health care plays a leading role in generating innovation. Despite this, the productive base of Brazil’s health care system is extremely fragile, jeopardizing both the universal provision of health care services and the country’s competitive insertion in the globalized environment. This suggests the need for a more systematic analysis of the complex relationships that exist between the technological and the social interests involved in the productive base of health care provision in Brazil. Therefore, the purpose of this article is to enhance our understanding of the productive base of health care, especially given its potential to contribute to a socially inclusive development model, which is the ultimate goal in Brazil.展开更多
In 12th February 2008 UN launched IYPE,and some of the missions were;to demonstrate the great potential of Earth Sciences in the building of a safer, wealthier and safer society,as the Earth and Life are origins of di...In 12th February 2008 UN launched IYPE,and some of the missions were;to demonstrate the great potential of Earth Sciences in the building of a safer, wealthier and safer society,as the Earth and Life are origins of diversity.Currently we experience human activities posing impacts such as climate variability and huge diseases burden due to exploring of Geo resources.The paper describes potential health risks such as ionizing radiation,Geo hazards,chemicals展开更多
文摘At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many reasons.According to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among others.It is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the same.It is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.
文摘Health sector organization is discussed in many countries of the world. Organization of sectors of the society is a complex issue. It may look difficult where to start and how to navigate through an analysis of health sector organization. The objective is to present an approach to analysis for change in health sector organization that can result in a broad information basis for choice of new organization. A process based framework to analysis for change in health sector organization was designed. The three major stages of the process are： solving problems by smaller change in organization, smaller or major change in organization and major change in organization. Major change in sector organization has the steps： change in sector organization type, number and bordering of geographic subunits, choice of accountability structure, network organization, internal health sector organization and plan for the change process. A new way for how to perform analysis for change in health sector organization is described. With the approach, improved overall information is likely to be achieved. It can be applied as a first step by countries considering new organization of the health sector. It should be followed up by selecting specific organizational alternatives for more detailed analysis. The described framework can help navigating through analysis for choice of future health sector organization.
文摘Background: Attrition of health professionals from public health sectors is found to be a barrier to effectiveness of health systems and to provide essential health service to population. In Ethiopia, the public health system is the major provider of health care service to the people. In particular, the poor segment of community uses public hospital, health centers and clinic, since the private health facilities are inaccessible and unaffordable to them. The aim of this study was to determine the magnitude and factors associated with health professionals’ attrition from public health sectors in Bahir Dar city. Methods: A Facility based cross-sectional study was conducted in September-October 2012. All inclusive sampling techniques of five years document reviews were used to select 727 health professional documents. Quantitative and qualitative data were collected using structured questionnaires and indepth-interview guides respectively, by trained data collectors. Descriptive statistics (frequencies, proportion and chi square test) were used to describe the study population in relation to relevant variables. To identify independent predictors of attrition, only variables that were statistically significant during bivariate analysis were entered into multiple logistic regression models to control the effects of confounders. Pvalues sex, marital status, educational status, workplace, current salary, professional category and work experience were the main factors associated with health professionals’ attrition from public health sectors. Conclusion: The findings showed that the level of health professionals’ attrition is high in the study area. Policy makers and health mangers should design appropriate retention strategies for health professionals at public health sectors in terms of most associated factors with attritions of health professionals to reduce the prevalence of health professionals’ attrition from public health sectors in collaboration with development partners and concerned body.
文摘At the Plant of Production of Radioisotopes part of Nuclear Center of Mexico （ININ）, weekly radiofarmaceutics of sodium iodohippurate and meta-iodobenzyl-guanidine are prepared, these compounds are known as marked molecules with iodine-131. Currently the processes for the preparation of these compounds are carried out individually and in manual form, in box of gloves, presenting radiological risks. To avoid these risks, this work, shows equipment that is inside a warm cell with the finality of minimizing the radiological risks. Also, this semi-automated equipment has the purpose of to reduce the radiation exposure of personnel involved in the process of marking molecules. The routine industrial production with this equipment starts with the preparation of 9 marked doses of sodium iodohippurate of 2.73 mCi of iodine-131, each of the vials with saline solution of 4.5 mL and the product that containing the marked molecules of 0.5 mL with a percentage of marked of 95.6%. The innovation of this work consists in presenting a new design of equipment, for marked molecules, formed by electrical, mechanical, vacuum systems, and air extraction system.
文摘This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn in the face of digital disruption.The research uses a quantitative approach focusing on empirical customer data to accurately predict buying trends and adapt marketing techniques.Demand forecasts in the health sector are important,as in every sector.In particular,the material forecast and stock forecasting of the purchasing unit of hospitals are among the areas that receive significant attention.Four classifiers(Random Forest,Logistic Regression,Gradient Boosting and XGBoost)are trained and evaluated using various performance indicators as part of a systematic approach involving Kaggle data collection,preparation and model selection.The results show excellent accuracy in predicting customer attrition,but there are limitations in precision and recall,indicating room for improvement.Confusion matrices provide information about the performance of each classifier,allowing for continuous improvement of predictive analytics techniques.Ethical concerns are rigorously addressed throughout the work process to guarantee appropriate data and machine learning methodologies.The proposals emphasize the proactive use of predictive analytics to identify at-risk customers and implement targeted retention strategies.Incorporating new data sources,improving customer experience,and utilizing collaborative churn management methods are recommended to increase forecast accuracy and business outcomes.Finally,this research provides important insights into the usefulness of predictive analytics for customer churn forecasting as well as practical recommendations for businesses seeking to increase customer retention and reduce churn risk.By leveraging empirical research findings and implementing ethical and rigorous churn control strategies,businesses can achieve long-term success in today’s changing market environment.
文摘The strategic role of health care within the Brazilian development agenda has been increasingly recognized and institutionalized. Aside from its importance as a structural element of the Welfare State, health care plays a leading role in generating innovation. Despite this, the productive base of Brazil’s health care system is extremely fragile, jeopardizing both the universal provision of health care services and the country’s competitive insertion in the globalized environment. This suggests the need for a more systematic analysis of the complex relationships that exist between the technological and the social interests involved in the productive base of health care provision in Brazil. Therefore, the purpose of this article is to enhance our understanding of the productive base of health care, especially given its potential to contribute to a socially inclusive development model, which is the ultimate goal in Brazil.
文摘In 12th February 2008 UN launched IYPE,and some of the missions were;to demonstrate the great potential of Earth Sciences in the building of a safer, wealthier and safer society,as the Earth and Life are origins of diversity.Currently we experience human activities posing impacts such as climate variability and huge diseases burden due to exploring of Geo resources.The paper describes potential health risks such as ionizing radiation,Geo hazards,chemicals
