KYC passing required No | Whitelist No | Restriction for countries No
|Tokens for sale||790,000,000|
|Token distribution in ICO||
|Price||1 HiH = 0.0002 ETH|
HiHealth search trends in Google
The global ecosystem analyst
is the date broker of personal
medical data based on
artiﬁcial intelligence and such
technologies as Blockchain
Ethereum, Ethereum swarm.
The personal ecosystem for
diagnosing a human body in
real time and identifying the
cause of disease.
“Health is a state of complete
physical, mental and social well-being
and not merely the absence of
disease or inﬁrmity”. The Constitution
of the World Health Organization.
Hi:Health platform adds to this list
material well-being as well. That
allows people to make money off of
eir health condition*.
*Health mining is the exchange of the data for tokens. It makes possible to
teach AI, to identify patterns and to know the sources of diseases.
Health is one of main factors that inﬂuence the
more complicated and more expensive, and even
quality of human’s life and his labour force
often makes full recovery impossible. As a result,
participation. However, in recent years, the world
people lose an enormous amount of money on
situation concerning many diseases is
medication with an aim just to keep living, not to
worsening, including diabetes, cardiovascular
disease and lots more.
Situation in this ﬁeld can be fundamentally
improved by combination medicine and artiﬁcial
This is illustrated by the reports of the World
intelligence in a syncretic mix. Modern self-
Health Organization. The experts claim that there
learning systems allow to conduct a real-time
is a multitude of factors that impact the health of
It is estimated that between 3 and 5 per cent of the physical persons in
developing countries who don’t have time for their health start to receive health
care services online, e-Health applications are becoming increasingly important
than ever. Providers, funds and organizations will have to support the needs of
these new consumers and focus on cutting costs and improving efﬁciency.
Such important part of the economy as health care industry is still running on
ineffective and dated architecture. The main problems are exploring avenues for
keeping conﬁdential information about the patient and reﬁnement of the system.
Fortunately, we can apply innovative machine learning algorithms (which can
work without people) for processing large medical data sets without violation of
conﬁdentiality agreement. Moreover, we can use these models in order to
d of medicine.
Just in USA and EU hundreds of thousands of patients die annually due to doctors’ misdiagnoses.
The economic cost connected with complications that encountered in wrong prescription of drugs
is more than $100 billion per year.
The main reasons of misdiagnoses are as follows:
The doctors are specialized in certain organs or organism's system and often can’t see the
Lack of experience and doctors’ problems in knowledge often lead to situation, when rare
diseases can be not identiﬁed;
Lack of time that doctor has for analyzing medical history, the reason is doctor’s high workload
(appointments with patients) and also documentation takes signiﬁcant amounts of time;
The complexity in the deﬁnition of the disease according to X-ray, CT, MRI studies, histological
examination during ...
Lack of skilled h
in some regions of
The need for health services is constantly increasing in the world due to
environmental deterioration, using chemical components and hormones in
food production and lots of factors more. The population of Earth is
increasing and more and more people need medical help. Today in many
regions of the world there is an acute shortage of qualiﬁed health
personnel. While in post-Soviet countries overcrowding in medical
institutions is concerned as a serious problem, in many Asian countries
(including Japan, China and India) the situation is catastrophic, as the
quantity of patients there exceed 1000 per day per doctor. Taking into
account current trends, among which are increase of the world’s
population and increase in the morbidity rate, lack of health personnel in
the medium-to-long term jus...
An increased in
f bronchial asthma
An increased incidence of bronchial asthma
Nowadays about 235 million of people suffer from
asthma according to WHO. It’s the most common
chronic disease among children. In 2015 382
thousand of people died from asthma. Causes of the
disease have not been fully explored, however large
numbers of medics connect bronchial asthma with an
allergic reaction to deterioration of the environment. It
makes possible to suppose, that in case of preserving
today’s environmental situation, the number of people
who suffer from this disease is going to increase.
In most cases asthma is a terminal illness, however
provided delivery of medical assistance was
accomplished properly and the right drug for the right
person was prescribed, it can be controlled providing
good quality of life. In modern world...
Increase in deaths resulting from
Annually about 17,5 million of people die from cardiovascular diseases, 7.4 million
of them died from coronary heart disease.
In the USA 18 % of the GDP is spent on system of medicine. According to
American colleagues, if the speed of development is the same, in the nearest
future it will be needed to spend more than 40% of the GDP of the USA on cardiac
surgery. In general, the future of the cardiac surgery is prophylaxis of illnesses and
their complications. That’s why prophylaxis of cardiovascular diseases is one of the
most important and cost-effective ways of maintaining the population’s health.
Statistically, heart diseases as a reason of deaths are in the lead comparing to all
other diseases. That’s why heart diseases are part of a zone to which special
attention is paid, and it’s import...
July - September 2017
Studying problems in medicine and finding solutions to develop a strategic map.
Writing Whitepaper, developing a smart contract, creating an architecture and developing a prototype platform.
Run Pre-ICO, pre-order gadget RocketBody, create legal base.
Launching the ICO, publishing &HiHealth v1.0 with the functionality to collect (purchase) user data, delivery of the RocketBody gadget, partner programs with clinics and CIS laboratories.
July - January 2019
Buying medical data, processing medical data, learning artificial intelligence.
Release and publish HiHealth v2.0 with a personal artificially intelligent helper, health and life insurance, launch broker's date.