Using artificial intelligence to help prevent low blood sugar in hospitalized patients
Official title: Artificial Intelligence-Assisted Clinical Decision Support for Preventing Hypoglycemia in Hospitalized Patients
Funded at Vanderbilt University Medical Center · NIH-11051213 · Data updated 2026-11-12
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
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | April 1, 2024 |
| Project end | January 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $157,352 |
| NIH project number | 5K23DK136974-02 |
| Project ID | NIH-11051213 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are hospitalized adults who are receiving insulin therapy and are at risk for hypoglycemia.
✕Less likely to help
Patients who are not hospitalized or those who do not require insulin therapy may not benefit from this research.
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.
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 gone: 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
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: Wright, Aileen — Vanderbilt University Medical Center
- Study coordinator: Wright, Aileen
Related research
Other NIH-funded projects on the same topics.
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Technological and Educational Approaches to Restore Hypoglycemia Awareness in Type 1 Diabetes
A two-arm study in adults with type 1 diabetes tests whether high-tech glucose control plus education or targeted training can help people regain awareness of low blood sugar.
-
Techniques for restoring awareness of low blood sugar in adults with type 1 diabetes
A randomized trial compares different approaches to help adults with type 1 diabetes recognize when their blood sugar is dipping so they can act quickly.
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Treating impaired hypoglycemia awareness in type 1 diabetes with targeted education and technology
This study tests two treatment approaches to help adults with type 1 diabetes who often don’t realize their blood sugar is getting too low, using a mix of technology and education in two large groups.
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Helping people with type 1 diabetes regain awareness of dangerous lows
A UK study tests two different approaches to help adults with type 1 diabetes recognize and respond to low blood sugar by comparing a high-tech insulin system with targeted education.
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Understanding how hypoglycemia awareness changes in adults with type 1 diabetes and how automated insulin delivery and exercise might help restore it
This study will look at adults with type 1 diabetes to see how their awareness of low blood sugar evolves over time and whether automated insulin delivery and high-intensity exercise can help restore that awareness.
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Glucagon Pump Therapy for PBH in People After Bariatric Surgery
A new approach uses a patch pump and smart control to deliver glucagon during meal-related lows in adults who had bariatric surgery and developed dangerous hypoglycemia.
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.