AI-powered tools to optimize critical care pharmacist work and prevent adverse drug events
Official title: Artificial intelligence-based health IT tools to optimize critical care pharmacist resources through adverse drug event prediction
Funded at University of Colorado Denver · NIH-11423413 · Data updated 2026-11-12
A patient-relevant project to use artificial intelligence to help critical care pharmacists identify and prevent adverse drug events in the ICU.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $305,927 |
| NIH project number | 7R01HS029009-05 |
| Project ID | NIH-11423413 on NIH RePORTER |
Who could benefit from this research
✓Could help
Critically ill adults in ICU settings where adverse drug events are a concern and where pharmacist interventions could prevent harm.
✕Less likely to help
Patients whose ADE risk is not addressed by the available interventions or those not in ICU settings may derive less benefit.
What this research studies
This project will create AI-driven tools to help critical care pharmacists decide which medication interventions are most likely to prevent adverse drug events for critically ill patients. It will develop a new scoring tool, the MRC-ICU, to predict which ADEs can be prevented by pharmacist actions using patient data from the ICU. The team will build an AI-informed dashboard that maps how patient features, medications, and potential ADEs relate to outcomes, guiding more effective pharmacist care. The goal is to improve patient outcomes and reduce costs by making CCP resources more accessible and better targeted.
Why it matters
Potential benefit: If successful, the approach could reduce ADEs, improve recovery and outcomes for critically ill patients, and make pharmacist resources more efficient.
How similar studies have gone: Previous work supports leveraging AI for medication safety, but this project applies a novel causal-inference AI approach specifically to ICU pharmacist interventions.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Sikora, Andrea — University of Colorado Denver
- Study coordinator: Sikora, Andrea
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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.