Drishti Sharma

Queen's University

Papers

1

Total Citations

4

H-Index

1

About

Drishti Sharma is a researcher at the forefront of healthcare automation and artificial intelligence, with a primary focus on improving emergency medical response systems. Her most notable contribution is the development of "Triage-Bot," an innovative assistive triage framework that streamlines patient data collection to reduce waiting times in emergency departments and enhance access to evidence-based care. This work, published in 2024, has already garnered 4 citations, signaling its growing influence in the field of digital health. Sharma's research addresses a critical bottleneck in healthcare delivery—the prompt and efficient processing of patients in high-pressure settings—by leveraging AI to automate triage processes. Her work not only demonstrates technical ingenuity but also a deep commitment to saving lives through technology. As an emerging scholar, Sharma's contributions are paving the way for more responsive, data-driven healthcare systems, making her a promising voice in the intersection of AI and clinical practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Triage-Bot: An Assistive Triage Framework
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Queen's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago