Tracking Animal Health in Zoos Using Blockchain Technology

Area of Science:

• Veterinary Medicine
• Computer Science
• Blockchain Technology

Background:

• Animal welfare in zoos is a persistent concern, with inadequate conditions and healthcare leading to frequent Animal Welfare Act violations.
• Current data management practices hinder effective healthcare and data sharing between zoological facilities.

Purpose of the Study:

• To design a Hyperledger Fabric-based system, the "Zoo Trust Database," for secure and seamless sharing of zoo animal health data.
• To improve animal welfare by ensuring accurate recording and accessibility of animal healthcare data and medical histories.

Main Methods:

• Development of a blockchain system using Hyperledger Fabric to create the "Zoo Trust Database."
• Implementation of secure data recording and access controls for authorized network peers.
• Design for providing data to regulatory authorities to monitor healthcare management.

Main Results:

• The proposed system enables secure, real-time sharing of critical animal health information across zoo and conservation facilities.
• Enhanced data accessibility facilitates better-informed treatment decisions for improved animal care.
• Potential to significantly reduce violations of animal healthcare regulations.

Conclusions:

• The Zoo Trust Database offers a robust solution for managing and sharing zoo animal health records.
• Blockchain technology can be effectively leveraged to enhance animal welfare and regulatory compliance in zoological institutions.
• This system promotes collaborative efforts in animal healthcare, leading to improved welfare outcomes.