Blockchain and Healthcare Industry

Health Care Market Market Size: • Global Healthcare expenditure expected to reach $8.7 trillion by 2020 • Global Healthcare analytics market is expected to reach $24.55 Billion by 2021 • Global mHealth solutions market is expected to reach $90.49 Billion by 2022 Driving Factors: • Big Data in accurately personalized medicine and the growing need for its

effective analysis • Interest and initiative to implement digital technologies in healthcare such

as Electronic Health Records (EHR) • Internet availability, constantly raising use of smartphones, fitness trackers

and other wearable devices and health applications to track the state of the human condition.

Key Problems: • EHR Interoperability. Different systems can’t easily exchange health data with

one another due to technical specifics of each tool • Lack of single repository with full patient medical history: doctor’s reports

from different providers, blood test results, genome, MRI scans, insurance claims and etc.

Opportunities for Transformation

Personal Healthcare Records Online ID allowing accurate identification both online and offline.

RESULTS

Faster and cheaper identification at third-party services;

Resistance to hacking and internal fraud;

Relevant country-scale common space of data;

Direct access to data with no intermediary;

A citizen manages his own profile.

ISSUES

Slow paperwork;

Possible data manipulation;

No common informational environment;

Unreliable intermediaries.

HEALTHCARE PROVIDERS

PERSONAL RECORDS

PERSONAL DEVICE

Supply Chain & Provenance of Drugs Blockchain tracks goods at one distributed ledger and ensures compliance with the established rules and procedures.

RESULTS

Transparent coordination with a revenue and other services;

No accounting manipulation;

Open to all participants;

Minimal corruption;

Timestamping;

Can be used in healthcare in private and public procurement.

ISSUES

Overdue deliveries;

Orders accuracy;

Corruption on procurement and delivery.

Smart Contracts Blockchain can provide a framework to develop smart contract solutions to automate contract processes.

RESULTS

Convenient online audit of history of deals and aggregated values;

Flexible products implementation via smart contracts;

Trustless reliable data and documents exchange environment;

Secure data storage protected from fraudulent manipulations.

ISSUES

Lack of trust for complex insurance products;

Lack of technological flexibility for fast-developing industry;

Fraud via data manipulations;

Costly audit.

INSURER

HEALTHCARE PROVIDER

CLIENT

Applications underway

Health Care Data Storage & Access

Developing an infrastructure solution for;

• Storage & Accessing records

• Syncing user’s electronic healthcare records

• Securing records in a tamper-resistant way.

• Ability to read and update record via different trusted nodes using unique personal key identifier.

TARGET RESULTS

More comprehensive medical data about each patient

Efficient tracking of treatment and prescription medicine turnover

More data for success medical researches

Faster request process and data update

Health Care Data Storage & Retrieval

Hospital

Patient

Regulator

Insurer

Drug store

ISSUES

Medical data not available outside of small geography

Specialist treatment for complex conditions requires specific data

Patients had no access to own records.

UK Healthcare Initiatives In UK Pilot project Bitfury is going to implement patient data storage using Blockchain technology. Decentralized storage resolves issues with medical data sharing between different hospitals within UK.

• Web Access uses Exonum LightClient to communicate with Blockchain

• New Hospital can be connected to Blockchain Network via existing or separate Exonum Node

• Each Medical Company can have own Validator Node to participate in consensus and participate in next chain stage approval.

•Security - secured data storage, allowing convenient mechanisms for data encryption and storage, minimizing the risks of data leaks. •Multiple data types in one ecosystem - allowing to query data by a variety of phenotypic types and forming a "data lake" for future analytics and aggregation. •Traceability - gives the users an opportunity to see who and when used their data. •Granular control - ability to manage the access controls to certain data. •Data validation - automatized system for data validation and scoring in order to classify and evaluate uploaded data for better future analytics. •Data analytics - the ability to analyze collected data types and correlate them in order to "view the bigger picture” •“Know-How” in Data Privacy - advanced architecture

Nebula Partnerships

September 2018:

Longenesis established a partnership with Nebula Genomics – a company that wants to sequence your genome and let you share it on a blockchain, while retaining your rights to control its usage (co-founded by prof. George Church)

Thank you