Using artificial intelligence to help prevent low blood sugar in hospitalized patients
Artificial Intelligence-Assisted Clinical Decision Support for Preventing Hypoglycemia in Hospitalized Patients
['FUNDING_OTHER'] · VANDERBILT UNIVERSITY MEDICAL CENTER · NIH-11051213
This study is creating a helpful tool that uses artificial intelligence to support doctors in preventing low blood sugar in patients who are getting insulin while in the hospital, making it easier for them to keep you safe and healthy.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | VANDERBILT UNIVERSITY MEDICAL CENTER (nih funded) |
| Locations | 1 site (NASHVILLE, UNITED STATES) |
| Trial ID | NIH-11051213 on ClinicalTrials.gov |
What this research studies
This research aims to develop an artificial intelligence-assisted clinical decision support tool specifically designed to prevent hypoglycemia in patients receiving insulin therapy while hospitalized. The project focuses on improving existing predictive models for hypoglycemia by integrating them into electronic health records, ensuring they are user-friendly for clinicians. By involving healthcare providers in the design process, the tool aims to enhance patient safety and streamline clinical workflows. The ultimate goal is to reduce the incidence of hypoglycemia, which can lead to serious complications such as acute coronary syndrome and increased mortality.
Who could benefit from this research
Good fit: Ideal candidates for this research are hospitalized adults who are receiving insulin therapy and are at risk for hypoglycemia.
Not a fit: Patients who are not hospitalized or those who do not require insulin therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the risk of hypoglycemia in hospitalized patients, improving their overall safety and health outcomes.
How similar studies have performed: Previous research has shown promise in using AI for clinical decision support, but this specific approach is novel in its integration with electronic health records for hypoglycemia prevention.
Where this research is happening
NASHVILLE, UNITED STATES
- VANDERBILT UNIVERSITY MEDICAL CENTER — NASHVILLE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: WRIGHT, AILEEN — VANDERBILT UNIVERSITY MEDICAL CENTER
- Study coordinator: WRIGHT, AILEEN
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.
Conditions: acute coronary syndrome