Transforming healthcare with big data analytics: technologies, techniques and prospects.

In different studies in the field of healthcare, big data analytics technology has been shown to be effective in observing the behaviour of data, of which analysed to allow the discovery of relevant insights for strategy and decision making. The objective of this study is to present the results of a systematic review of the literature on big data analytics in healthcare, focussing in technologies, main areas and purposes of adoption. To reach its objective, the study conducts an exploratory research, through a systematic review of the literature, using the Methodi Ordinatio protocol supported by content analysis. The results reveal that the use of tools implies work performance at the clinical and managerial level, improving the cost-benefit ratio and reducing the time factor in the practice of the workforce in health services. Thus, this study hopes to contribute to the technological advancement of computational intelligence applied to healthcare.

Machine learning applied to healthcare: a conceptual review.

The technological inference in procedures applied to healthcare is frequently investigated in order to understand the real contribution to decision-making and clinical improvement. In this context, the theoretical field of machine learning has suitably presented itself. The objective of this research is to identify the main machine learning algorithms used in healthcare through the methodology of a systematic literature review. Considering the time frame of the last twenty years, 173 studies were mined based on established criteria, which allowed the grouping of algorithms into typologies. Supervised Learning, Unsupervised Learning, and Deep Learning were the groups derived from the studies mined, establishing 59 works employed. We expect that this research will stimulate investigations towards machine learning applications in healthcare.

Big data analytics as a tool for fighting pandemics: a systematic review of literature.

Infectious and contagious diseases represent a major challenge for health systems worldwide, either in private or public sectors. More recently, with the increase in cases related to these problems, combined with the recent global pandemic of COVID-19, the need to study strategies to treat these health disturbs is even more latent. Big Data, as well as Big Data Analytics techniques, have been addressed in this context with the possibility of predicting, mapping, tracking, monitoring, and raising awareness about these epidemics and pandemics. Thus, the purpose of this study is to identify how BDA can help in cases of pandemics and epidemics. To achieve this purpose, a systematic review of literature was carried out using the methodology Methodi Ordinatio. The rigorous search resulted in a portfolio of 45 articles, retrived from scientific databases. For the collection and analysis of data, the softwares NVivo 12 and VOSviewer were used. The content analysis sought to identify how Big Data and Big Data Analytics can help fighting epidemics and pandemics. The types and sources of data used in cases of previous epidemics and pandemics were identified, as well as techniques for treating these data. The results showed that the main sources of data come from social media and Internet search engines. The most common techniques for analyzing these data involve the use of statistics, such as correlation and regression, combined with other techniques. Results shows that there is a fruitiful field of study to be explored by both areas, Big Data and Health.

Government Initiative in Brazilian Public Health: A Technology Transfer Analysis.

The objective of this research is to analyze the transfer of technology developed by the commercial and industrial compensation policy of the initiative of the Plan of Expansion of Radiotherapy of the Ministry of Health. The data of the organization subsidized by the Plan of Expansion of Radiotherapy were obtained through research documentary, interviews with professionals and participant observation. The methodological strategy consisted of a case study supported by a cross-sectional study, the internal environment was analyzed with variables found in the literature, allowing its comprehension in a certain hospital situation. The results revealed that the initiatives of introduction of radiotherapy equipment by the Expansion Plan suffered numerous confrontations within the contextual and organizational circumstances that affected its development and effectiveness. Given the struggles of the Expansion Plan at the tactical and operational levels of decision-making, there are challenges that require responses from organizations involved in the process to implement the trade agreement established by the compensation policy, with the initial stage being highlighted as a technology transfer process. Due to management skills and expertise, it gives you the paradigm status to be followed based on the relevant dimensions and indicators of the technology transfer analysis.