big data
big data

Big data and Artificial Intelligence have positioned themselves in the health sector as tools for making decisions, improving services and treating patients.

The analysis of a large amount of data, known as  big data , and the organization of information and  artificial intelligence  (AI) have been positioned in the field of  health  as  tools  that support the decision-making process, rapid diagnosis and treatment of patients.

Although, a few years ago the implementation of  information technologies was  not palpable in the field of medicine, the reality is that since 2016 several researchers were already visualizing the implementation of technological tools in patients and diagnoses. For example, the article  Artificial intelligence in healthcare: past, present and future  published in 2017, visualizes the application of artificial intelligence in different types of data, especially, it would support the analysis of natural language or unstructured data in areas such as  cancer, neurology and cardiology .

To date, hospitals and health service providers   have focused on evaluating and opting for technological solutions that optimize diagnostic processes and service improvements. Thus, one of the main objectives of the implementation of big data in the industry seeks to reduce inefficiency in clinical operations, research, diagnosis and public health.

The  investment  focused on the implementation of technological solutions in the different health services is increasing, according to the  Global Healthcare Big Data Analytics Market Report 2019-2024 , in 2018, the big data market in the health sector cost 19.6 billion of dollars. Today, the report reports a projection to 2024 of $ 47.7 trillion.

In the field of  genetics , different meetings such as “Big Data: science, medicine and ethics” organized by  the Health Sciences Foundation  have positioned themselves among analysts and medical specialists, identifying the high potential of data analysis in populations and the creation of protocols for mass disease prevention.

The  technological developments  entail different challenges staff and health organizations involving training and evaluation of ethics in information management, because, among the various discussions, the put into question  access to personal data  and the regulation of access to patient information.

Undoubtedly, access to information and management through  big data  must have regulations that will involve governments and users of the industry, this, as important supporters in the  management of confidential data , safeguarding the integrity and confidentiality of the different patients, making use of the information only  for medical  and development purposes in order to improve services to the population. This will be a challenge for both providers of these  technologies  and professionals will have to review in the short term.

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