In the last decade, advances in medicine have made it possible to develop and improve treatments so that society can enjoy a longer and better quality life.
Hand in hand with high technology and massive data analysis, doctors are beginning to work to diagnose and even operate on the patient.
Technology is a powerful ally in treating patients, but it cannot impede or hinder the relationship between doctor and patient, which must always exist.
Artificial Intelligence and technology offer possible solutions to certain medical and health problems, but we must take into account the possible consequences and preserve our rights as citizens.
Medicine today focuses on the patient and in the hospital, medicine of the future will focus on seeking health where the person is. Concept that implies that we want to live longer and better. For this, it is necessary to anticipate the development of the disease, and for this it is necessary to identify previous early signs of the disease through the enormous amount of data, from AI.
For example, looking for the different genes that predispose to cancer and we already have some, seeing how to reprogram them; we are also going to consider stimulating the immune system to prevent the initial development of tumor activity; to reset all memory circuits; to put relays with biosynthetic cells; to act in the area with nanorobots, and we are also going to consider something that begins at the atomic level, at the molecular level, which is to see how these signs of the disease begin to change; that is to say, the future is in that molecular prevention medicine.
The health system is directed to the treatment of pathologies and in many cases to acute pathology, when many pathologies are chronic. The system needs to be reoriented. We allocate very few resources to preventive medicine. All joint problems, many of them can be prevented with exercise and diet and that means that we have not been able to get there with education at school. We must refocus the health system, reorient the care model and think about where people are.
A change in the health paradigm is needed, emphasizing long-term care and how we guide this care in chronic pathology and, above all, research and that research soon reaches clinical practice”.
The most important thing is to have information and we have technology (AI) to have that information. We need to have a large national agency to use and have that database; an agency that has to be independent, not mixed with politics, but only scientific, which has recalled that we are “taking time to incorporate innovation, there are drugs that have more than 600 days to wait to be incorporated into the health system.
No one with a chest X-ray can tell if a person is black or white. The AI, yes. The same with the fundus of the eyes, knowing if it is for a man or a woman. AI sees patterns that we are unable to identify and is capable of predicting with patterns” a possible disease.
We live in the data society. Health data increases by 48% per year. Almost 50% of the time a doctor spends in a consultation is entering patient data.
In the world of medical devices we find that we have to evaluate a tsunami of technology in this sector. And the evaluation methods must be agile; that is essential. Governing these technological paradigms is what we have to do and are doing.
Personalized medicine is expensive and it is important to have information on which specific patients it will work for. The costs of the system must be maintained (make it sustainable).