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212 CHAPTER 8 BLOCKCHAIN IN HEALTHCARE: CHALLENGES AND SOLUTIONS
Registration
Data collection
Delivery and visualization Knowledge creation Big data security risk Data transformation Filter and classification
cycle in healthcare
Data modeling
Analytics and prediction
FIG. 8.13
Risk cycle of healthcare big data security.
8.4.2 INTELLIGENT DATA MANAGEMENT
Big data mining is becoming more complicated, along with artificial intelligence, neural networks,
anddeeplearning [62]. Previously wasted healthcare data can be transformed into information and
information can be further processed to generate knowledge (e.g., for marketing and drug analysis).
The main problem with extensive data handling is privacy and manipulation risk. The blockchain
guarantees a multilayered data protection mechanism using decentralization and smart consensus.
From health to wearable IoT sensors, information is safer, where investors (doctors, researchers,
public authorities, patients, IoT industries etc.) can join in the blockchain network as a “miner”
[41]. The healthcare big data industry can deploy blockchain in developing data-driven business
intelligence.
8.4.3 SMART ECOSYSTEM
The healthcare network is formed by the hospitals, entrepreneurs, and patients, along with their data
suppliers, producers, and competitors. A smart ecosystem is achievable with blockchain technology for
healthcare data management. Peer-to-peer (P2P) and business-to-business (B2B) collaboration using
blockchain technology can lead to a new age of the smart healthcare ecosystem. Blockchain technology
can decrease costs, time, and system loss in medical data handling and processing. Blockchain uses the
concept of “Smart contract” or a smart way of securing regulations [41], thus allowing an interchange
of anything of value in a clear and argument-free way. This stabilizes the contract and also confirms
that it occurs in a successful way. Best of all, blockchain technology ensures the privacy of the terms
among parties.