NIH-funded research Sbir 1 grant

Technology-Driven Root-Cause Analysis and Clinical Enhancement for C. difficile Infections

Official title: Technology-Driven Root cause Analysis and Clinical Enhancement for Clostridioides difficile Infection (TRACE-CDI), a Digital Thread to trace Hospital-acquired Infections

Funded at Datanova Scientific LLC · NIH-11186538 · Data updated 2026-11-12

A new digital platform uses hospital data to streamline how hospitals analyze and prevent hospital-acquired C. diff infections.

Quick facts

Grant typeSbir 1 grant
Study typeNIH-funded research
Funding institutionDatanova Scientific LLC
NIH-funded
Lab location1 site (Surfside Beach, United States)
Project startJuly 21, 2026
Project endJanuary 31, 2027
Funding year2026
Award (this year)$306,969
NIH project number1R43AI192167-01
Project IDNIH-11186538 on NIH RePORTER

Who could benefit from this research

Could help

Hospitals and healthcare teams working to prevent and control C. diff infections; patients indirectly benefit through safer care practices.

Less likely to help

Direct patient participation is not described; the project focuses on hospital staff and data rather than enrolling patients.

What this research studies

This NIH grant funds development of TRACE-CDI, an automated system that links electronic health records and other hospital data to speed up root-cause analyses of hospital-acquired C. diff infections. The project gathers input from infection preventionists, quality improvement staff, and antimicrobial stewardship teams to design a tool that fits real hospital workflows. It will create an ontology to organize key data elements needed for RCA and infection control decisions. The work centers on practical, user-friendly design to help teams reduce infection risk and improve patient safety.

Why it matters

Potential benefit: If successful, TRACE-CDI could shorten RCA timelines, improve infection control decisions, and reduce C. diff infections in hospitals.

How similar studies have gone: Previous RCA improvements in healthcare have shown that well-designed digital tools can speed up investigations and curb infections, though automated, ontology-driven RCA platforms are newer.

Where this research is happening

  • Datanova Scientific LLC
    Surfside Beach, United States
    Active

Researchers

  • Principal investigator: Joshi, Sameer — Datanova Scientific LLC
  • Study coordinator: Joshi, Sameer

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.