Abstract

The healthcare system in the Indian subcontinent is plagued with numerous issues related to the access, transfer, and storage of patient's medical records. The lack of infrastructure to properly communicate and track records between all key participants has allowed the distribution of counterfeit drugs, dependency on unsafe methods of communication, and lack of trust between patients and providers. During the global COVID-19 pandemic, the need for a robust communication and record tracking system has been further emphasized. To facilitate efficient communication and mitigate the mentioned issues, a nationwide EHR (electronic health record) system must be introduced to bring the healthcare system into digital space. To further enhance security, efficiency, and cost, the innovation of Blockchain is introduced. Blockchain is a decentralized data structure that allows secure transactions between untrusted parties without needing a central authority. In this paper, a Hyperledger fabric-based Blockchain Electronic Healthcare Record (EHR) system is proposed. The system is integrated with technologies such as NLP (Natural Language Processing), and Machine Learning to provide users with practical features.

Highlights

  • The SARS-CoV-2 or commonly known as the Coronavirus pandemic, has challenged healthcare systems worldwide and has exposed vulnerabilities even among the best prepared due to its uncertainty of transmission, the unavailability of a patient’s proper medical history, and lack of adequate contact tracing, to name a few examples

  • We have discussed various healthcare issues prevailing in the Indian subcontinent, such as the lack of complete end-to-end Electronic Health Record (EHR) interlinking between individuals, stand-alone hospital recording systems, extensive use of handwritten prescriptions, unsafe hospital databases vulnerable to data manipulation by hospital authorities without patient permission and lack of accommodation for caregivers

  • In addition to the related works mentioned above, we performed literature surveys on the ANNbased text extraction model, which could contribute to our work. [1] have implemented the Artificial Neural Network (ANN) approach for text extraction from 64 different types of prescriptions with 98% accuracy. [12] have proposed a Convolutional Neural Network (CNN) common approach for extracting numeric text using handwritten numbers commonly found in India, including Odiya, Telugu, Devnagari, Bangla, and English

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Summary

A Blockchain and NLP Based Electronic Health Record System

The lack of infrastructure to properly communicate and track records between all key participants has allowed the distribution of counterfeit drugs, dependency on unsafe methods of communication, and lack of trust between patients and providers. During the global COVID-19 pandemic, the need for a robust communication and record tracking system has been further emphasized. To facilitate efficient communication and mitigate the mentioned issues, a nationwide EHR (electronic health record) system must be introduced to bring the healthcare system into digital space. Efficiency, and cost, the innovation of Blockchain is introduced. Blockchain is a decentralized data structure that allows secure transactions between untrusted parties without needing a central authority. A Hyperledger fabric-based Blockchain Electronic Healthcare Record (EHR) system is proposed.

Introduction
Related work
Proposed model
System architecture
Data pulling and sharing
Patient data management at hospital
Handwritten prescription data extraction
Printed prescription data extraction
Blockchain network setup
Handwritten prescription data extraction- training and validation
Printed prescription data extractiontraining and validation
Findings
Conclusion and future work
Full Text
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