The Role Of Big Data Analytics In Healthcare

The Role Of Big Data Analytics In Healthcare It's been a while since the Big Data (the set of digital resources for the analysis and use of large volumes of data of all kinds that cannot be managed by traditional computer) tools have been installed in the health field. It is giving rise to a new paradigm that affects both management and research and the approach of various pathologies. The possibilities that this “data mining” opens are innumerable and increases day by day, but although its adoption is already “palpable” in different areas, activities and procedures of the world of health underlie many of the approaches of several pathologies. There is still a lot of work to do to get the most out of it.

ADVANCES IN GENETICS AND MANAGEMENT OPTIMIZATION

Research The data produced by the different forums and publications referring to Big Data in the field of health (read big data analytics in pharma) demonstrate that its integration in a centralized and accessible way allows extrapolating very useful information to develop health studies and identify new therapeutic targets. Likewise, the evidence suggests that the theoretical benefit of its use in the field of research would be a 25% reduction in the time for presenting the results.

Genetic It is one of the areas that have benefited so far from the possibilities offered by Big Data. This was evident in the latest edition of the Bioethical Athenaeum of the Health Sciences Foundation held under the title “ Big Data: science, medicine and ethics” where it was analyzed to what extent the new data technologies have enabled the development of genomics and proteomics, with the enormous impact on prevention, diagnosis and medical treatment that this entails. Every time we know how to better use the genetic data of each individual to make an exhaustive study on the risk of disease in each person, we do it at a lower cost. Big Data will allow us to carry out population studies that allow classifying each person into groups of the low-risk type, high risk, etc. which will allow to create appropriate medical protocols according to this knowledge.

Taking clinical decisions The use of these technologies implies the possibility of taking advantage of the massive data that is generated in clinical practice to make statistical inferences and extract knowledge that allows optimizing the possibilities offered by the new digital environment and readjust it in all health processes in general and in clinical decision-making.

"Custom" medicine One of the most “celebrated� results by professionals regarding Big Data is its facilitating role, which is currently a priority objective for the system and in all specialities: precision personalized medicine. The important path opened thanks to the possibility offered by Big Data to count with a large amount of grouped information, images, medical history and genomic data and to apply them accurately using artificial intelligence tools.

ALLY OF CHRONICITY Rare diseases are one of the fields in which the use of adequate data management is more promising, establishing an intense relationship between diagnostic and therapeutic advances and Big Data. The application of these technologies is radically changing the approach to these diseases and that currently, they form the fundamental methodological framework of the most cutting-edge projects in genetic diagnosis developed worldwide.

In the area of cardiovascular diseases, this technology is being applied in different predictive programs aimed, for example, at the early identification of stroke symptoms, the prediction of post-surgical risks associated with specific heart diseases or the prediction of atrial fibrillation precursors. It is also being used in the study and improvement of the approach to type 2 diabetes, in oncology and in the field of neurology.

CHALLENGES AND READJUSTMENTS All these potentials make more and treatment of patients from the Big Data perspective, but this approach often clashes with many of the limitations and unresolved issues that still exist regarding this technology:

Lack of training in this technology As with many other tools and aspects derived from digitalization, the implementation does not occur in parallel to the training of professionals in their management, hence the need to implement training programs such as, for example, the one It has launched in the United Kingdom (professionals are being massively trained in aspects such as genetic sequencing) to optimize the possibilities of Big Data.

To return with confidentiality As mentioned in the Athenaeum of Bioethics, data confidentiality is currently the most important ethical problem that Big Data poses. For Francisco Herrera, director of the Andalusian Interuniversity Institute in Data Science and Computational Intelligence (DaSCI), the competence of transfers affects ownership and authorization in the use of data together, which, together with data protection laws, makes it difficult even more use this data and make a massive processing of it with intelligent technologies: “Interdisciplinary teams of experts in Artificial Intelligence and medicine should be created and have the possibility of accessing medical data with all the guarantees of protection for patients,'' he claimed.

Reference: https://www.clinithink.com/