Why doctors treat sepsis differently
Measuring and Learning from Care Variation in Sepsis
This project looks at patterns in how doctors decide on antibiotics, IV fluids, and hospital care for people with sepsis to help improve outcomes.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ihc Health Services, INC. NIH-funded |
| Lab location | 1 site (Murray, UNITED STATES) |
| Project ID | NIH-11170410 on NIH RePORTER |
What this research studies
From a patient's perspective, researchers will analyze large sets of hospital records and use computer learning and statistical methods to see how doctors make key sepsis treatment decisions. They will also use interviews and qualitative methods to understand different decision styles. The team will link those decision patterns to different sepsis subtypes and patient outcomes like recovery and survival. By using real variation in care, they hope to identify which treatment approaches work best where evidence is unclear.
Who could benefit from this research
Good fit: People treated for sepsis in emergency departments or hospitals, especially those who received antibiotics, IV fluids, or had decisions made about admission versus discharge, would be relevant to this work.
Not a fit: People without sepsis or those already receiving well-established guideline-based care are unlikely to get direct benefit from this project.
Why it matters
Potential benefit: If successful, this work could point to treatment patterns that reduce deaths and improve recovery for people with sepsis.
How similar studies have performed: Prior data-driven and observational sepsis studies have offered useful insights, but combining advanced machine learning with qualitative analysis of clinician decision-making is relatively new.
Where this research is happening
Murray, UNITED STATES
- Ihc Health Services, INC. — Murray, United States (Active)
Researchers
- Principal investigator: Peltan, Ithan Daniel — Ihc Health Services, INC.
- Study coordinator: Peltan, Ithan Daniel
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.