Investigating the effects of sepsis treatments using electronic health records
The impact of clinical interventions for sepsis in routine care and among detailed patient subgroups: A novel approach for causal effect estimation in electronic health record data
This study is looking at how different treatments for sepsis can help patients by using real health data to find out which methods work best for different people, so that care can be more tailored and effective.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10891598 on NIH RePORTER |
What this research studies
This research aims to improve the understanding of how different clinical interventions for sepsis affect patient outcomes by utilizing electronic health record data. It focuses on the complexity of sepsis, which varies greatly among patients, and seeks to develop a novel machine-learning approach to estimate causal effects of treatments without the limitations of traditional observational studies. By analyzing real-world data, the research hopes to identify which interventions work best for specific patient subgroups, ultimately leading to more personalized and effective care for sepsis patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with sepsis, particularly those with varying sociodemographic and clinical characteristics.
Not a fit: Patients who do not have sepsis or those who are not receiving standard clinical care for sepsis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more tailored and effective treatment strategies for sepsis, potentially reducing mortality rates and improving patient outcomes.
How similar studies have performed: Other research has shown promise in using machine learning and electronic health records to improve treatment outcomes, suggesting that this approach could yield valuable insights.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Geldsetzer, Pascal — Stanford University
- Study coordinator: Geldsetzer, Pascal
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.