HI:Health - Ecosystem for Diagnosing a Human Body in Real Time

- Mei 07, 2018

The global ecosystem analyst - the date broker of personal medical data based on artificial intelligence and blockchain technologies.The personal ecosystem for diagnosing a human body in real time.Finds sources, patterns of development of different diseases and prevents future illnesses. Insurance Health life.

It is estimated that between 3 and 5 percent of physical persons in developing countries who do not have time for their health start receiving online health care services, e-Health applications are becoming more important than ever. Providers, funds, and organizations must support this new consumer need and focus on cost cutting and efficiency improvements.

An important part of the economy like the health care industry is still running on an ineffective and archaic architecture. The main problem is exploring ways to keep confidential information about patients and system improvements.

Fortunately, we can implement innovative machine learning algorithms (which can work without people) to process large medical data sets without violating confidentiality agreements. In addition, we can use these models to analyze and understand the diagnosis, risk factors and better cause-effect relationships.

The problem is in the field of medicine.

Only in the United States and the EU, hundreds of thousands of patients die every year because of a doctor's diagnostic error. The economic costs associated with complications encountered in prescribed wrongful drugs are over $ 100 billion per year.

The main reasons for misdiagnosis are as follows:

Doctors specialize in certain organs or organism systems and often can not see the whole picture;
Lack of experience and physician problems in knowledge often lead to situations, when rare diseases can not be identified;
The lack of time that doctors have to analyze the medical history, the reason is the high doctor's workload (patient appointments) as well as the documentation takes a lot of time;
Complexity in the definition of disease according to X-ray, CT, MRI studies, histologic examination during non-standard types of disease, and also high dependence on subjective experience by an expert.
Based on the artificial intelligence of neural networks it will be possible to make a large number of differences in the field of medical diagnosis.

Lack of skilled health workers in some regions of the world

The need for health services continues to increase in the world due to environmental damage, using chemical and hormonal components in food production and many other factors. The population of the Earth is increasing and more and more people are in need of medical help. Nowadays in many areas of the world there is an acute shortage of qualified health personnel. While in post-Soviet countries the density in the concerned medical institutions is a serious problem, in many Asian countries (including Japan, China and India) the situation is disastrous, because the number of patients there is over 1000 per day per doctor. Taking into account the current trends, among which are the increase in world population and increased morbidity levels, the shortage of health workers in the medium to long term will only increase.

In this case, the most serious situation is for many vulnerable and vulnerable groups of healthcare consumers. They are parents and also people living with serious and chronic diseases, with locomotor disorders. It is difficult for them to go to a health center to undergo regular medical examinations and stand in a long line waiting for a diagnosis. Density in medical institutions also exacerbates the risk of virus or the spread of infectious diseases, especially during the epidemic.

Equally important is one more fact, that excessive medical content increases the risk of telling the wrong diagnosis and treatment. It's important, sometimes fatal to the patient, the consequences. It can cause problems related to heart or arterial hypertension with complications that cause myocardial infarction and humiliation.

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