ALLIVE, an Intelligent Healthcare Blockchain Ecosystem, Partners with Ontology

ALLIVE is an exciting new project that aims to create a comprehensive healthcare services system that runs on the blockchain. The project will create decentralized, collaborative, frictionless, and secure healthcare applications for the healthcare industry and will be designed to function seamlessly with healthcare service providers, wearable devices, medical R&D institutions, medical financial services, as well as support groups to provide end-to-end and user-friendly healthcare experiences for everyone.

Tying together all of the many different data sources and data types involved in such an ambitious project is, of course, a huge undertaking. That is why ALLIVE is partnering with Ontology, a high-performance public blockchain project that leverages distributed trust networks, decentralized ledgers, and built-in smart contracts to facilitate the collaboration between different businesses and private actors. Ontology allows users to manage their own data from a variety of sources including public institutions, banks, businesses, family, colleagues, and friends, and allows this data to be tracked, traded, secured, and used in any way that the owner sees fit.

The formal announcement of this partnership took place in Seoul on August 18, 2018, at the Ontology Mainnet Seoul Launch. Details on the event, including partners and agenda, can be found here. This event was a precursor to the Ontology mainnet launch event that is to be held in Tokyo on August 25.

The Seoul event featured a special address by Mr. Eagle Zhang, the co-founder and CTO of ALLIVE, as well as high-level tech talks by founders and senior members of the Ontology foundation. Issues that were discussed during the conference included the importance and benefits of blockchain technology, recent developments in the space, and future trends and applications of blockchain in different sectors.

ALLIVE, an Intelligent Healthcare Blockchain Ecosystem, Partners with Ontology

In his speech, Mr. Zhang discussed some of the problems plaguing the healthcare services industry and explained how ALLIVE can help tackle those issues. Some of these problems discussed included the high cost of healthcare management (which has reached unprecedented levels of USD 12 trillion annually), unsatisfactory outcomes of large healthcare providers, and the central problem of health data ownership. Data is of special interest to ALLIVE and Ontology because the partnership between the two organizations plans to use a data-centric approach to improving healthcare.

ALLIVE, an Intelligent Healthcare Blockchain Ecosystem, Partners with Ontology

To put Mr. Zhang’s comments in perspective, consider the following: Health data is widely collected and used by both individuals as well as institutions, but most people have very limited control over their own data because of the way hospitals and other centralized institutions collect, store, and control that data. Centralized approaches to data collection and storage not only reduce the level of control that private individuals have on their own personal data, but they place restrictions on what they can do with it, and they also place this data in serious jeopardy from hacks and public exposure. An added layer of complexity to the problem is that if data ownership is, in fact, given back to private individuals, this may threaten to reduce the efficiency of inter-agency data flows, reducing the overall effectiveness of healthcare provision, to begin with.

Therefore, beyond simply fixing the way healthcare reform is approached, policymakers and decisionmakers need to understand that there are many data-specific issues that need to be addressed, such as the following:

  • Data needs to be high volume so that predictions can be made about events that happen innumerable times.
  • Data needs to be high-quality so that even with data that takes on different shapes and forms and includes the use of different units of measurement, all data can be fed into a system that can understand and use it.
  • Data needs to be in a single place and not siloed so that the systems and processes that need specific types of data can actually access the data they need.
  • Data needs to be unbiased. Data for use in AI systems and in healthcare solutions needs to maintain consistency in terms of the conditions in which the data was collected, and this is not possible when using data collected from different hospitals at different times and under a wide range of different circumstances.

Unfortunately, current systems do not cater to all of these issues in the way they collect and use data. Rising healthcare costs and unsatisfactory healthcare outcomes testify to these shortcomings. However, as was made clear by Mr. Zhang’s comments, ALLIVE can change all of that.

How will it do this?

By leveraging blockchain technologies and in partnership with Ontology, ALLIVE will create a decentralized platform for comprehensive and personalized healthcare. Its Olife module will build a private profile of an individual’s health data, Olivia will operate as an artificial intelligence healthcare provider, and Oleaf will connect everything together in a comprehensive healthcare service system.

ALLIVE, an Intelligent Healthcare Blockchain Ecosystem, Partners with Ontology

There are numerous benefits to this approach. First of all, all of these systems will be encrypted, and they will help to break down the data silos that exist in centralized healthcare systems today. They will also help hospitals and healthcare clinics transition to a more evidence-based approach to personalized healthcare. Furthermore, Olivia, the AI module of the system, will combine medical knowledge with machine learning algorithms to provide improved care and medical diagnoses, that too at a fraction of the cost of regular healthcare professionals. This will allow ALLIVE to provide cheaper and more timely medical advice and consultation services to individuals, not just in hospitals and clinics but in their homes as well, saving ill patients from costly and inconvenient trips to the hospital.

Finally, Oleaf will tie everything together and will enable patients, doctors, insurance companies, caretakers, medical device manufacturers, and other stakeholders in the medical and healthcare services industries to work collaboratively using high-quality, reliable, secure, and accurate data.

Now that the Seoul event and the Ontology partnership announcements are over, ALLIVE continues to work on developing the platform. Q4 2018 will see the release of the beta version of Olivia, as well as the launch of ALLIVE’s native wallet. The ALLIVE testnet is set to be launched in Q1 2019, and launch of the mainnet is slated for Q2 2019.

Along with Mr. Eagle Zhang, the ALLIVE core team also includes Mr. Jack Liu, the Founder and CEO of ALLIVE, and Dr. Dongfang Liu, the Chief of Medicine. Mr. Jack Liu is an investor and board member with dozens of tech and healthcare startups, and he is an early investor in the blockchain field. As for Dr. Dongfang Liu, he is an experienced healthcare professional who is committed to researching the efficiency and quality of medical services through advanced technologies.

In addition to the core founding team above, ALLIVE has brought together many professional industry experts as well to serve on the company’s advisory board. These include Xiaochuan Wang, the CEO of Sogou Tech and the former CTO of Sohu, who brings to the team technical expertise, and George Wu, Doctor & Professor of Harvard Medical School. Dr. Wu’s areas of expertise lie in medical research, and he has taught at Harvard Medical School since 2005 and has had his work published in many different medical publications of global repute.

Finally, ALLIVE’s Airdrop program is currently live. Earlier participation will be rewarded with more ALV tokens, so click here now to participate!

To learn more about ALLIVE and how it plans to disrupt the healthcare services industry by improving patient outcomes and lowering the costs of healthcare, visit


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Wechat: @allivenetwork