Page 14 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
5. Final Design: 2. Blockchain for Data Security and Transparency
 Place the central theme "Digital Record Keeping" in the Blockchain technology is gaining popularity as a data
middle. management solution due to its security and transparency.
 Surround it with the key components and their Blockchain can offer a decentralized, unchangeable record
associated sub-elements. of an animal’s medical history, making it impossible to
 Use arrows to show the process flow and relationships. tamper with the data and thus affording a high level of
 The outer circle can have the outcomes listed. security. It could be especially valuable for tracking the
movement and treatment of livestock animals in production
Example Layout for the Diagram:
and international trade with greater robustness of
+--------------------------+
traceability.
| Data Collection |
3. Universal Standards for Interoperability
| (Sensors, RFID, Apps) | The global standard is critical for digital record keeping
systems to reach their full potential. Establishing universal
+--------------------------+
standards for animal health data formats, privacy, and
↑ interoperability is important to ensure different systems can
seamlessly communicate with one another. It would make
|
possible for veterinarians, researchers, and regulatory
+--------------------------+ authorities to share data, which in turn, significantly
increases the efficiency and quality of animal health around
| Data Storage |
the globe.
| (Cloud, Secure Databases)|
4. Mobile and Remote Access
+--------------------------+ Mobile device and smartphone use in veterinary practice are
growing, and with such growth comes exciting opportunities
↑
for accessing animal health records from afar. Veterinarian-
| specific applications can also be found for mobile devices
that let them access health records, communicate with
+-----------------------+ +---------------------+ +---------------------+
clients and share data with colleagues on the go, increasing
| Data Integration | ←→→ | Data Analysis | ←→→ | Decision access to care in rural or underserved areas.
Support | Conclusion
| (Farm, Clinic, Research) | | (ML, Predictive Analytics)| | The digitalization of record-keeping, however, has
(Alerts, Reports, Rec.) |
significantly changed the landscape of animal healthcare,
+-----------------------+ +---------------------+ +----------------------+ offering veterinarians, farmers, and researchers various tools
to optimize the management of animal health in a more
↓
efficient and effective manner.
+--------------------------+
While implementation hurdles include high costs, data
| Stakeholder Collaboration| security concerns, and resistance to change, the potential
benefits of digital systems in animal healthcare are
|(Vets, Owners, Managers) |
tremendous. With the evolution of technology, digital
+--------------------------+ record-keeping will further integrate with the animal health
ecosystem, optimizing care, reducing costs and improving
↓ outcomes for all animals across the globe.
+--------------------------+ References
| Improved Healthcare | [1] MD DPOs are essential. McAllister, L. D. A. (2020)
Digital Technologies in Veterinary Practice: A Review.
| (Early Detection, Efficiency) |
Journal of Veterinary Medicine: 78.(10): 1474-1484.
+--------------------------+ 62, no. 4, pp. 221-229, 2024.
[2] Smith, K. C. et al. The Role of Electronic Health
Future Directions in Animal Data Management
With the development of digital technologies, many Records in Veterinary Practice Veterinary Record, vol.
opportunities are emerging for better data handling, which 177, pp. 110-113, 2023.
would improve animal health. [3] O'Connell, M. et al. "Challenges and Advantages to

1. Artificial Intelligence and Machine Learning Electronic Health Records in Animal Care," Journal of
The use of AI and machine learning can dramatically Veterinary Science, vol. 35, pp. 77-84, 2025.
improve decision-making in veterinary practiceAI can [4] Thompson, S. J. et al. Digital Transformation in
provide predictive insights regarding animal health trends, Animal Health: Challenges and Opportunities, Journal
optimize treatment protocols, and aid in preventing disease of Animal Science Technology, vol. 40, pp. 56-63,
outbreaks by analyzing large data sets. Down the line, 2025.
veterinarians could use AI diagnostic tools to achieve faster,
more accurate diagnoses based on patterns that exist in [5] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
animal health records and outside data. “An Analytical Perspective on Various Deep Learning
Techniques for Deepfake Detection”, 1 International
st

Conference on Artificial Intelligence and Big Data
th
th
Analytics (ICAIBDA), 10 & 11 June 2022, 2456-
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