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.
