How can ML, blockchain technology and IoT bring innovations to healthcare?

The industrial revolution 4.0 brought great technological advances, the Internet of Things (IoT), machine learning and blockchain were part of this so-called revolution. The benefits have been multiple, applications are still under development, and thousands of startups around the world continue to innovate to use and combine technologies to provide more comprehensive tools and solutions.

On this occasion, we will talk about the merger of these three technologies in the healthcare sector that has been hit and tested so severely today by the effects of the coronavirus.

Blockchain IoT and ML is an amazing trio of new technologies. Blockchain technology makes data more secure, ML analyzes it, and IoT makes it more secure. It is estimated that a blockchain-based ecosystem will emerge in the coming decades, and this technology will reduce various problems such as applications, growth opportunities, identity management, supply chain province and much more..

The use of IoT in healthcare

How can ML, blockchain technology and IoT bring innovations to healthcare?
How can ML, blockchain technology and IoT bring innovations to healthcare?

It is estimated that implementing solutions for more devices with IoT in the healthcare sector would improve disease diagnosis and monitoring. During this terrible pandemic that has plagued the world, some countries have found a friendly hand in technology, so the usability of existing resources must be considered.

The Internet of Things in medical solutions is becoming reality faster than expected. Some studies show that blockchain as well as IoT and machine learning will be the fundamental basis of attention in the coming years.

Integrated applications for smartwatches or smartphones in relation to heart rate, calorie count, exercise hours and running meters are being used more and more. So much so that they go unnoticed and as such are not considered as instruments that tend to keep a reliable record of the data associated with the user, although this will change soon.

Real-time devices enable doctors to diagnose the health of doctors in real time. IoT devices have enormous potential to improve the treatment process for patients and save their lives. This makes it easier for doctors to monitor critically ill patients.

How machine learning can be used in healthcare

The bots are a tool that is anchored to the data of the devices provided with IoT and, so to speak, turns into assistant chatbots that enable the user to receive basic advice that takes over the data provided by the device.

If you follow the example of smartwatches and record information related to a particular condition, The bot, which is supported by the data provided, issues intelligent warnings, ie it necessarily requires interaction with the network operator via comments, for example in order to stop the service.

Another important application of machine learning in healthcare is that doctors can easily store information. The analysis can also be carried out better. It will also minimize waiting times in healthcare.

How blockchain can be used in healthcare

The most emblematic feature of the blockchain is the transparency that it offers. Because of the immutability of the data and their integration, they offer a very transparent ecosystem. This is particularly beneficial in times of this pandemic.

By using blockchain networks, the data provided can be publicly known and cannot be changed. It therefore guarantees transparency of the data that was crucial in the fight against the corona virus.

Blockchain promises more transparency and accessibility for patient registration. Healthcare providers, patient numbers and more are also increasing. With increasing data, it becomes more difficult to manage such information. Blockchain would help create a hyper data ledger that stores patient information that is more tamper-proof and reliable.

The implementation of this technology would bring more transparency, integration and immutability. It will keep health records up to date. In addition, the use of intelligent contracts ensures that the data is correct and can be checked with several patients. In addition, data in the blockchain network of the healthcare system can be shared between different organizations.

There are already blockchain-based ecosystems that have been used in the health sector for some time, with excellent results. In the midst of the pandemic, new applications have emerged that are aimed at protecting health.

Solve.Care is a global healthcare company that uses blockchain technology to manage, coordinate and pay for healthcare services. The company is based in Ukraine and has offices in the United States, Singapore, the United Kingdom and Estonia.

In Mexico, an ecosystem called Prescrypto was implemented, which was sponsored by the Unicef ​​development program and was able to expand the implementation of this platform This essentially enables the blockchain network connection to be used to create medical records, order medical prescriptions, and remotely control patient development.

In South Korea, the implementation of the FLETA ecosystem has enabled the Asian country to control the outbreak of the coronavirus in good time and at an early stage. The use of the platform enabled single and interlaced data management to be carried out to identify the cases infected by contact and thus the immediate response, and prevented the country from being closed in isolation, as in Spain.

For its part, Chile has implemented its healtchain ecosystem that combines IoT, ML and blockchain via chatbots.. The corona virus has enabled blockchain ecosystems to multiply for health. Not only in Europe and Asia, but also in Latin America, where the use of blockchain technology obviously guarantees the accuracy of the data that governments provide for the treatment of the virus.

Countries such as Peru, Venezuela, Argentina and Colombia have used technological means to detect viruses and to record infected, recovered patients and even deaths. An example of information concealment or information manipulation was reflected in Ecuador when the government rarely reported deaths from the coronavirus cases and videos and images of hundreds of deaths leaked in this Latin American country.

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