Emergency response to natural disaster victim identification: Blockchain to the rescue

Title

Emergency response to natural disaster victim identification: Blockchain to the rescue

Creator

Kumar, Sachil; Sebastian, Athul; Nandakumar, Brunda

Description

Rapid, coordinated action by various stakeholders is required to respond effectively to a natural disaster. Suffice it; such efficiency has been missing in many previous rescue attempts. Is blockchain capable of making this happen? The Disaster Victim Identification (DVI) process is a sophisticated operation in which post-mortem (PM) identifying data, including fingerprints, DNA, and dental records, are acquired and matched with antemortem (AM) data from the missing people list. Although there are solutions to human identification, they must provide the tools required to achieve human identification promptly. Blockchain technology is one of the technologies that has gained much attention recently and is undergoing heavy media operations. It creates trustworthy, secure, and comprehensive ecosystems by disseminating siloed AM and PM data across systems, preventing breaches, redundancies, inconsistencies, and errors. Using real-world scenarios, the authors present several good use cases in this chapter to gain a holistic understanding of the challenges and how blockchain technology addresses such challenges and facilitates multi-jurisdictional data information sharing in conjunction with the upcoming distribution of patients electronic medical and dental records. 2025 Elsevier Inc. All rights reserved.

Source

The Role of Blockchain in Disaster Management;pp.69-85

Date

01-01-2025

Publisher

Elsevier

Subject

Blockchain; Challenge; Natural disaster; Post-mortem data; Victim identification

Coverage

Kumar S., Amity Institute of Forensic Sciences, Amity University, Uttar Pradesh, Noida, India; Sebastian A., CHRIST University, Karnataka, Bengaluru, India; Nandakumar B., CHRIST University, Karnataka, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-044313472-2; 978-044313473-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1016/B978-0-443-13472-2.00001-2

https://www.scopus.com/pages/publications/105001466738?origin=resultslist