Web 3.0 And Medicine

Do you remember the times of reactive healthcare? In simpler times, we waited until we experienced a series of symptoms then booked a meeting with our doctor who would plan to diagnose our illness. However, the increase of fitness trackers, wearables and education mean we are now far more proactive when it involves taking care of our health.

It is relatively easy to see every calorie we consume and each step that we take every day by using the smartphone in our pocket. There's also a movement called the Quantified Self (QS) who are seeking higher knowledge through self-tracking of their pulse, respiration, sleep patterns, vital sign, exercise, diet and far more.

In the context of medicine, Web 3.0 could have a number of potential applications. One example is in the area of electronic medical records (EMRs). With Web 3.0, EMRs could be more easily shared and interconnected across different healthcare providers and institutions. This would allow for a more complete picture of a patient's health history, which could lead to better care and fewer medical errors. Additionally, the use of machine learning and natural language processing (NLP) techniques could enable automated extraction and analysis of patient data from EMRs, which could be used to identify patterns or insights that would be difficult for humans to detect on their own. As the healthcare industry evolves with the advent of web 3.0, it is crucial for medical professionals to partner with a reputable metaverse development company or metaverse developers to ensure the implementation of cutting-edge metaverse development services in virtual healthcare environments.

However, this is often just the start of an industrial revolution as we head towards Web 3.0.

Let’s explore how these emerging technologies could transform our wellbeing and convey greater efficiencies to the planet of healthcare.

Wearables and IoT

Anyone that has sat during a corporate meeting would have noticed the increasing number of smartwatches and fitness trackers strapped to wrists of the attendees. Albeit you missed this trend, you almost certainly would have heard stories from people on a mission to succeed in their elusive goal of 10,000 steps each day.

However, if we were to zoom out from the first adopters, it’s easy to ascertain the potential that these small trackers offers. What if Doctors provided devices to high risk patients and encourage them to watch their activity during their daily routines? If medical professionals had access to the present real-time data and advised their patients accordingly, they might prevent further complications and save lives.

Fitness trackers and wearables are capable of recording far more essential data than simply steps. For instance, the newest Apple Watch is close to become the primary ECG-capable device cleared by the FDA that users are going to be ready to purchase without the necessity for a prescription. But, what's the big deal about this?

The reality is that the majority heart problems don't occur when inside a Doctors lounge. Imagine having a watch strapped to your wrist that's continually checking for any patterns of irregularity together with your heart and alerting you if needed. Equally an equivalent device can track sleep patterns, and residential vital sign monitors that hook up with smartphones also are easy to urge hold of too.

IoT is far quite just another buzzword. People who can look beyond the shiny new gadgets can quickly see that wearable tech can act as a health monitor that has the potential to save lots of lives.

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AI and Machine Learning

Contrary to public opinion, it’s not the technology which will transform the medical industry; it’s data. The more we capture and record on a worldwide scale, the better it becomes to find out from it. Until now, the thought of small trackers creating a deluge of private health data would have raised another unwelcome challenge to time-strapped medical professionals.

Thankfully, machines can process and learn from vast amounts of knowledge faster than even the neatest of humans. If sophisticated computer systems are capable of collecting, evaluating and understanding complex healthcare data patterns, it might undoubtedly become an important tool for health care professionals.

A combination of machine learning (ML), AI (AI) and cognitive computing are just a couple of Web 3.0 technologies that have transformative qualities for the medical community. The info from our fitness trackers can then begin to form valuable insights that enable Doctors to make an informed decision supported learning from hard data.

The scary headlines around AI, automation, and robots replacing the role of a doctor couldn't be beyond the reality. The longer term involves professionals leveraging new insights from patient data to enhance human deciding.


It has been impossible to flee the hype that surrounds blockchain technology this year. Most of the people will associate a decentralized and secure digital ledger with the planet of business and fintech. But, this same technology is close to have a big impact on the healthcare industry too.

Anyone can benefit from fragmented data.. By removing essential information from individual systems, patient data will become accessible to the proper people and providers during a step towards greater efficiency.

When all parties have access to an equivalent information, it becomes much easier to co-manage diagnoses and coverings. Another problem that's seldom talked about is that the issue with counterfeit drugs made possible by a deeply flawed and dated supply chain.

New solutions like Ambrosus are combining both blockchain and IoT to assure data integrity for products. By creating a secure and frictionless dialogue between sensors, distributed ledgers, and databases it could also help prevent the many thousands that die thanks to counterfeit pharmaceuticals.

Surgical Operations and Web3

Currently, surgeons use technologies like AR, VR, AI, and minimally invasive surgeries for augmenting patient outcomes. Leading hospitals and universities use these technologies for surgeries because this provides a 3-D view of a patients’ body, and helps to interpret surgical plans, and perform procedures. However, AR and VR alone aren't sufficient to form appropriate clinical decisions. As an example, VR systems are limited to specific clinical settings and mobile VRs offer pocket-size immersion. At this point, the metaverse comes into play.

Imagine the patient Sarah again. To know how her procedure is performed, doctors can create a digital twin of Sarah. A digital twin may be a virtual model, or simulation, of any object, process, or system, generated using real-world data, for the aim of learning more about its real-world counterpart, during this case, patient Sarah. This digital twin can act as a “test dummy” to predict everything from Sarah’s surgery to the reactions she is going to need to specific medications, all the thanks to the foremost suitable surgical pathway. The ultimate outcome is that the collective care team can make better clinical decisions and perform procedures with reduced risks.

These doctors also can collaborate with surgeons in several locations who are invited into the metaverse of Sarah’s care room. This is often where it gets interesting. To cure Sarah’s rare disease, global experts might be invited into Sarah’s care space to supply novel therapies or treatment outcomes. If those suggestions are successful, the experts from round the globe would be compensated during a cryptographic token for aiding in Sarah’s recovery.


Patient Data and Web3

In today’s healthcare, data is usually shared between multiple organizations during a way that's both inefficient and opaque as far because the owners of that data are concerned. The very fact that health records are usually stored on centralized servers means our data is in danger of being stolen or mishandled.

With medical data expanding at an exponential rate, security is more vital than ever. According to a study published in Transactions of the American Clinical and Climatological Association, the doubling time was anticipated to be 50 years in 1950, 7 years in 1980, 70 days by 2020, compared to 3.5 years in 2010.

Patients can now own their data thanks to the integration of blockchain into healthcare. Patients of the future will be able to have their data dispersed thanks to secure encryption and cryptography. As an example, if Sarah wants a specific doctor or hospital to perform her procedure, she will share her accurate data including her medical record with the concerned people through her consensus. Moreover, interaction recorded in blockchain including cryptocurrency can clear payments that utilize Sarah’s data effectively. The cost of Sarah's medical care may be lessened if she receives payment for the data she uses.

Can Patients Monetize Their Healthcare?

Let’s imagine that with metaverse, doctors are successful in performing Sarah’s procedure with improved accuracy. However, can Sarah help others like her browsing an equivalent journey? If Sarah’s healthcare data and journey were minted or stamped as one or range of NFTs, she could prefer to share her data on platforms that would be the online 3.0 version of “patients like me.” Security concerns shouldn't be a problem since NFTs accompany an inherent feature to be tracked and traced. Sarah would be ready to see where it finishes up and hold those that used it without her permission accountable since she is that the sole owner of her data, as certified by the NFT authentication.

Companies providing digital health services could use an NFT approach to attract patients to join in studies by sharing their data and profiting from it. Other third parties curious about utilizing the info for research or developing new products could reach out on to patients on a digital marketplace. The most difference compared to the normal approach is that patients really do have the selection to share their data during a more informed manner.

Web3 could bring out a radical change within the healthcare world. Patients of tomorrow could see a world where healthcare data is decentralized, personalized and traced ultimately resulting in transparency, accessibility and affordability of care.

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