The possibility of using big data and artificial intelligence distorts this epistemological assumption of contemporary clinical practice.
In fact, with the use of big data and artificial intelligence, instead, medicine is born based on what is not evident for the single human doctor, but can become evident with the use of big data and deep learning techniques. as able to consider and process much more information than is possible for a human being.
Today, with the use of big data in Healthcare and deep learning techniques, we are able to carry out effective predictive and preventive medicine long before the onset of symptoms and for chronic and worsening diseases this is a considerable advantage.
Instant access to the entire data set allows you to predict the evolution of the clinical picture through support decision-making algorithms that make the entire process more efficient. All this is achieved by emphasizing the constructivist nature of the process, aimed at bringing a significant advantage to all stakeholders interested in the individual’s care and assistance process.
The diagnostic-assistance model, also based on a personalized electronic health record, will be able to respond to requests for increasingly effective, efficient and quality diagnostic, prognosis and treatment services for the patient whose trade-off between service level
and costs implementation, can be mitigated thanks to the application of innovative technologies, systems and procedures for the management of the clinical process according to an e-Health Service Management logic.
The creation of the electronic health record, which is continuously enriched with the monitoring of remotely detected values, contributes to making many diseases diagnosable at a very early stage, identifying risk situations, and managing assistance and treatment remotely.
The monitoring of the state of health, the prevention of critical situations and the support of daily activities therefore represent an emerging application field at the health level, with particular reference to frail people, the elderly and with chronic diseases.
Because telemedicine tackles the problems of contemporary health
In summary, the most important phenomena that characterize and accompany the growth in demand for telemedicine services are:
the aging of the population and the limited ability to provide full-time care in care centers for the elderly;government programs to combat diseases and wrong lifestyles, including through large-scale prevention actions;the increase in the number of patients suffering from chronic diseases, who reside permanently at home;
the decrease in the number of healthcare professionals and easier access to specialists;
new treatment technologies.intervene at an early stage of the disease through monitoring, and therefore reduce the aggravation and mortality rate;reduce the number of days of hospital stay;rationalize decisions through remote consultation with specialists;
reduce the cost of patient care.