MEDICHAIN - The Big Data Platform

MEDICHAIN

Description 

Whenever any data is gathered about a patient, by device or medical professional, dispensing a precription or even purchase of a non-prescription medication, the patient (through an app) or the device would get a chance to have a reference or "pointer" added to an Ethereum blockchain - a decentralized digital ledger. So the blockchain is an index to storage and it contains the hashes that validate the offchain data.

Instead of payments, this blockcahin acosystem would record. critical medical information off-chain, indexed by a virtually incorruptible cryptographic database, maintained by a network of computers, that is accesible to anyone running the software and has the patients permissions to access the specific cryptographic keys.

Every point at which a doctor logs on the blockchain (or the patient logs on for themselves with their smartcard, giving them control of their own data) would become part of a petient's off-chain record, no matter which electronic system the doctor was using-so any caregiver cloud use it without worrying about incompatibility issues.

Global Market Size

The average cost of developing a new drug is $2.6 billion US taken over 106 samples and 10 companies. The annual development budget in the US is $153 billion dollars per year. Founder Mark Baker has first hand experience in this sector doing big data analysis for a crucial part of the development of a highly succesful drug as well as big data experience as CTO in a major predictive analytics player.

Ultimately, the potential medial big data market is a substantial portion of the future drug development market. In addition, and acting as an enabler, Transparency Market  Reserach Study of Electronic Helath Record (EHR) Market values the globla EHR market at $15.65 billion USD (Growing to $23.98 billion USD).

Although w ecould try to monitize that, it makes more sense to aim to bring substantial extra value to that market by creating an acceptable system benfiting patients and doctors.

Philosophy

The underlying philosophy of Medichain is that all personla data has value which should belong, in the first instance, explicity to the customers. The customer can decide if they want to sell it in an anonymized form, for example to insurers or pahrma companies, but that's for them to decide. Accroding to seidenberg inwired, 85 percent of smartphone buyers expect to access personal helath data on their devices. Optimizing accessible in that way is a key to success.

UTILITY TOKENS

What are the Tokens ?

MediChain Utility Tokens (MCU) represent the value of arbitaray petient data blocks. MCU Utility tokens can be purchased via the platform during the token sale. A rule of thumb is that initially, the data from each consultation or piece of data is arbitrarily given a value in MCUs equal to buyer cost of the consultation in US dollars. Over time this value is adjusted for token availability, different data types, disease, patient demographics etc., to reflect the buyer's market. Data is available throgh one or more marketplaces to buyers.

Token Utility

Utility Tokens (MCUs) can be used for :

• Reasearch Program Voting
  Medichain funds and tokens support the creation of research grants particulary aimed at academic institution, healtcare networks, universities and scientiest to gather haigh value big data to MediChain Utility Tokens are used to vote on determining the focus of future research. Voting options are determined by internal and external domain experts.
• Personal Medical Data Storage and Transfer
  All aptients regardless of wether they are utility token holders will get to store pointers to their data without charge on the chain ecosystem. Utility token holders with more than 100 tokens will be given smart card access to their own data once it is implemented, probably in year two.
• Personal Medical Data Services
  Individuals holding utility tokens will be able to use their tokens to purchase any appropriate digitally transmitted medical services, such as diagnostic services from institution participating in the system.
• MCU Discounts
  MCU Token will be usable for discount for a range of digital services as well as purchase of compatible devices which amy include fitbit product like the fitbit Alta HR, AliveCor Cardiac Monitors like the Kardia, Apple Watches like the Apple Watch Series 3 and related healthkit products from partners. MCU Token discounts will also be used for discounts on medical services which may include consultations and precriptions in applicable domains.
• Institutional Medical Data Services (including Diagnosis)
  Institutional holding utility tokens will be able to use their tokens to pay for or purchase any appropriate digitally transmitted medical serbices, such as diagnostic services.
• Research Medical Data Services
  Research will be able to access data depending on the rules set by the patients uploading the data. From the researcher's point of view it becomes primarily big data. An academic researcher may be able to access the data set either freely or for a nominal fee paid by the research grant . Their findings when published will stimulate further in MediChain as a research resource. A research or research group in a pharmaceutical company may be able to do a shallow sweep through the data to look for epidemiological trends and correlations for maybe $100K or subscribe to do that. After that they would typically pay much more for a full, in depth data set suitable as part of a new drug discovery or validation.
• Example of how data may be sold for tokens
  A client company, typically a pharmaceutical company, wants to purchase data. Although there may be an account manager working with them, this is not essential and they can create an order through an API, providing a request on required set of metrics, the available amount of medical records in the ecosystem can be received by API request, thus the price of data can be known in advance.

Allocation

The Utility Tokens for mediChain 9MCUs) made available for sale in connections with the Tokens Generation Event (TGE) will be allocation as follow :

1. Pre-Sale Maximum 6.5%
2. Public Sale 40%
3. Partner Fund 15%
4. Team and Founder Fund 18%
5. Advisor 6.5 %
6. Medical Data Fund 10%
7. Bounty 4%

Team

• Dr Mark Baker : CEO & Founder
• Dr Nicolas Smoll : Medical Doctor, Epidimiologist
• Ron Cafferky : Elevtronic Health Record Specialist
• Katy Blackwell : Chief of Operations
• Samuel Dare : Blockchain Engineer
• Giannis Stathopoulus : Business Development and Operations
• Mark Shorter : Creative Director
• Naomi Ellist : PR Specialist and Designer
• Yilin (Linda) Wen : Business Development
• Matt Ganeles : Business Development
• Rob Moya : UX / UI Designer and Developer
• Augustin Cassani : Blockchain Engineer
• Boris Shevchenko : Ethereum Engineer & Web Developer
• David Forbes : Software Developer
• Aizan Sheraly : IR & Business Development
• Akhila Nandanavanam : Traffic Management
• Raul Van Riezen : Business Development & Finance
• Youli Pan : Business Development
• Skye Bye : HR Assitant
• Pedro Silva : Business Development
• Rachael Edwards : Business Development & Marketing
• Thomas Hyunwung : Business Development
• Yuta Saitoh : Business Development & Investor Relations
• Esther Lu : Business  Development

Advisor 

• Mike Raitsyn
• Keith Teare
• Simon Cocking
• Jon Matonis
• Gabriel Zanko
• Amarpreet Singh
• Chri Fennel
• Simon Choi

MORE INFORMATION

WEB | WHITEPAPER | FACEBOOK | TWITTER | TELEGRAM

========================================================================

Created by : 15persenlucky

Profile link : https://bitcointalk.org/index.php?action=profile;u=1210666

ETH address : 0x1997B312D6e9cB863f939f9a7cEa3A36Ec185E69