Integration of Explainable Deep Neural Network with Blockchain Technology: Medical Indemnity Insurance

Sachan, S ORCID: 0000-0003-0136-0553 and Muwanga, J (2023) Integration of Explainable Deep Neural Network with Blockchain Technology: Medical Indemnity Insurance. In: 1st World Conference on Explainable Artificial Intelligence (XAI 2023), 2023-7-26 - 2023-7-28, Lisbon, Portugal.

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Abstract

Extracting evidence for processing of medical claims can be time-consuming and complex due to the sharing of sensitive information among multiple organisations. This paper presents a blockchain-based framework for reliable access to sensitive data by utilizing a hybrid smart contract running on the Hyperledger blockchain platform. The framework incorporates evidential reasoning for pre-processing ambiguous legal evidence and an explainable deep neural network (DNN) model for transparent decision-making in insurance claims, which continuously learns from lawyers' input. It addresses the laws on the "Right to be Forgotten" by considering the immutability of the blockchain and the "Right to Explanation" by providing transparency despite the non-linear nature DNN. The study evaluates the proposed framework's effectiveness in pre-litigation decisions for the medical negligence of doctors, demonstrating the importance of periodic retraining using low-confidence samples annotated by lawyers to enhance the model's decision-making capability.

Item Type:	Conference or Workshop Item (Unspecified)
Divisions:	Faculty of Humanities and Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	22 Jun 2023 09:03
Last Modified:	24 Dec 2023 22:59
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3171204