INTELLIGENT FRACTALIZATION.
MULTI-PARALLEL PROCESSING.
n-DIMENSIONAL PARTITIONING.

We aim to optimize healthcare data utilization through our patented distrubuted architecture. Fractalizing or n-dimensionally partitioning transactions and data down to their lowest reduceable value while maintaining their independent characteristics and orthogonality. Utilizing machine intelligence to optimally multi-parallel process fractalized transactions and data.

The goal, an intelligent protocol with infinite throughput and scalability.

AI and big data ready.

Patented

Throughput

Throughput

Blockchain is not designed to store large amounts of data. AI needs this data to be effective. DeepHive plans to optimize its protocol by fractalizing its architecture. Fractalization bifurcates consensus mechanisms, partitions ledgers and splits n-dimensional data and transactions. This structure aims to provide for orders-of-magnitude higher throughput, allowing healthcare systems to easily scale their business as their big data and AI computational needs grow.

Scalability

Scalability

Blockchain lacks the high transactional capacities needed to build scalable, sustainable and decentralized economies for the growth in healthcare AI and big data. To increase transactional scalability, DeepHive plans to fractalize protocol architectures and introduce a new consensus mechanism specifically designed for healthcare, enterprise proof of compliance (EPoC), with a modified and patented BlockDAG. This architecture aims for more concurrent and parallel transactions to be processed at the same time.

Developability

Developability

DeepHive aims to provide healthcare systems with the benefits of novel distributed ledger and cognitive technologies without the limitations of traditional technology stacks. Healthcare system developers may build an entirely new class of decentralized applications and blockchains. Each new system may have its own application-layer token, intelligent smart contract technology and multi-chain interoperability Bridges.

Interoperability

Interoperability

On our protocol, developers may deploy various healthcare applications that are interoperable across multiple public, private (permissioned) and cross-chains, each with their own application-layer and proprietary multi-chain Bridge. With built-in smart contracts, we plan to use these Bridges to share our data and gather data from other blockchains we integrate with. Utilization of Bridges may pull and push data into other blockchains from and to our protocol.

PROTOCOL FEATURES

Designed to benefit all participants and catalyze human and machine intelligence towards a more collective intelligence, DeepHive aims to build an architecture that allows healthcare systems to transcend into a more connected modus operandi. Benevolently architected, healthcare systems may enhance physician-patient interaction, improve health outcomes, promote research discovery, improve healthcare responsiveness, tighten data security, reduce TOC, increase ROI, improve operational efficiencies and increase patient safety.

Decentralized AI

Decentralized AI

AI On-Chain

AI Optimized

Decentralized Big Data

Decentralized Big Data

Multi-Chain Interoperability

Multi-Chain Interoperability

Decentralized Health Records

Intelligence, Data & Health Exchange

HIPAA & GDPR Compliant

HIPAA, HITECH & GDPR Compliant

PROTOCOL USE CASES

From data analytics, data acquisition and benchmarking to electronic health records, identity verification, prior insurance authorizations and supply chain, DeepHive aims to democratize healthcare, providing a platform that promotes decentralization and sharing of healthcare applications, intelligence and data.

No.1

Protected Health Information

No.2

Data Analytics

No.3

Clinical Decision Support

No.4

Insurance

No.5

Financial Management

No.6

Supply Chain