ESO Supported Research Presentations at EMS Expo
The Austin-based company shared 12 research abstracts across two major industry conferences this week.
Updated on Oct. 14, 2026 in Emergency Response
Live Poll
Do you trust artificial intelligence tools to accurately manage and document critical medical data?
The ESO Data Collaborative supported 12 research abstracts showcased at the EMS World Expo and the ACEP26 Scientific Assembly. Additionally, the company was named a finalist for an EMS World Innovation Award.
Why it matters
The ESO Data Collaborative provides necessary infrastructure for emergency departments and researchers to analyze large-scale care datasets. This initiative seeks to bridge the gap between technical data collection and clinical insights.
Researchers utilized a national EMS-ED dataset featuring 12 abstracts to evaluate emergency response protocols. The data stems from collaborative efforts involving linked records from ESO and d2i.
The players
ESO
Founded in 2004, this Austin-based company develops data infrastructure and software for emergency medical services.
Nicole Marie Perkins
She was the recipient of the Best Oral Clinical Presentation award for her research findings.
The details
The ESO Query Builder with Natural Language Processing tool allows personnel to generate reports using plain English without technical support. Nicole Marie Perkins received the Best Oral Clinical Presentation award for her work presented at the gatherings.
Timeline
The research findings and award finalist status were announced on October 14, 2026.
Seasonal Patterns
The introduction of the ESO Query Builder with Natural Language Processing marks a departure from traditional, manually intensive database inquiries in emergency medicine. This technology enables personnel to pull critical insights without needing complex coding expertise.
Emergency medical departments can utilize the Query Builder to streamline their own reporting processes and reduce reliance on dedicated analysts. Personnel interested in clinical data trends can review the recently presented abstracts for insights into regional emergency care.
The takeaway
The use of natural language processing in emergency medical services is reducing the barrier to entry for departments to conduct high-level research. Agencies can improve their service quality by integrating these data-sharing platforms into their daily operations.
Further reading
For more information on field data analytics, visit the Emergency Response section.
More information
View complete details on the ESO company and data collaborative information portal.
Live Poll
Do you trust artificial intelligence tools to accurately manage and document critical medical data?
