AI-Driven Nutrition for Premature Babies with Intestinal Failure
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores whether an AI tool can assist doctors in managing nutrition for premature babies in the NICU who cannot eat by mouth. The AI-driven Total Parenteral Nutrition Platform suggests personalized nutrition formulas delivered through an IV, and doctors decide whether to use these suggestions. The study will compare how often doctors follow the AI's advice, the speed of nutrition plan creation, and the overall health of the babies, including any complications. Babies in the NICU who require IV nutrition and whose doctors agree to use the AI tool can join the trial. The tool serves only as a suggestion aid and does not replace a doctor's decision-making.
As an unphased trial, this study offers a unique opportunity to contribute to innovative research that could improve nutritional care for vulnerable infants.
Do I have to stop taking my current medications for the trial?
The trial information does not specify whether participants must stop taking their current medications. It seems that all other care remains the same as standard practice, so you may not need to stop your current medications.
What prior data suggests that this AI tool is safe for use in ordering TPN for premature babies?
Research has shown that using AI to assist with total parenteral nutrition (TPN) for premature babies can enhance safety and reduce errors. TPN is crucial for babies in the NICU who cannot eat normally, but it can be challenging to administer correctly. The AI tool aids doctors by suggesting nutrition plans tailored to each baby's needs. Studies have found that AI can improve TPN safety by customizing nutrition and detecting errors before they occur.
In past cases where AI assisted with TPN, healthcare providers generally accepted the tool, and nutrition plans contained fewer mistakes. This suggests that the AI tool could enhance the safety of TPN for premature babies. However, since AI serves only as a supportive tool and doctors make the final decisions, healthcare professionals continue to closely monitor overall safety.12345Why are researchers excited about this trial?
Researchers are excited about the AI-driven Total Parenteral Nutrition (TPN) platform because it offers a new way to support premature babies with intestinal failure. Unlike standard TPN, which relies on manual ordering by healthcare providers, this innovative platform uses artificial intelligence to assist in decision-making, potentially leading to more personalized and precise nutrition plans. This AI integration aims to optimize nutrient delivery efficiently and could improve growth and health outcomes for these vulnerable infants, addressing challenges that traditional methods alone may not fully meet.
What evidence suggests that this AI-driven TPN platform is effective for premature babies with intestinal failure?
This trial will compare AI-driven total parenteral nutrition (TPN) with standard TPN ordering practices for premature babies with intestinal failure. Research has shown that AI can significantly enhance the nutrition provided through IVs to these infants. In one study involving 79,790 prescriptions, AI tools safely and effectively created personalized nutrition plans by learning from past data. This approach can lead to better health outcomes, such as reducing lung disease and infections. AI aids doctors in making more accurate decisions by considering each baby's unique needs. This method has kept lab results within normal ranges and improved the overall health of premature infants.678910
Who Is on the Research Team?
David Stevenson, MD
Principal Investigator
Stanford University
Are You a Good Fit for This Trial?
This trial is for newborns or infants in the NICU who need nutrition through an IV (TPN), regardless of age, birthweight, race, or sex. Babies can join if their doctors think it's safe to use the AI tool for TPN suggestions.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants receive AI-assisted TPN decision support tool integrated with Epic to order TPN
Follow-up
Participants are monitored for safety and effectiveness after treatment
What Are the Treatments Tested in This Trial?
Interventions
- AI-driven Total Parenteral Nutrition Platform
Trial Overview
The study tests an AI tool that helps doctors create personalized IV nutrition plans (TPN) for babies in the NICU. Doctors review and decide whether to follow the AI's recommendations; all other care stays standard.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Patients admitted during Period 2. Providers use the AI-assisted TPN decision support tool integrated with Epic to order TPN. Providers may opt out and use traditional ordering if needed.
Patients admitted during Period 1. Providers use current standard TPN ordering practice without AI assistance. Serves as baseline comparison.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Takeoff41, Inc.
Lead Sponsor
Stanford University
Collaborator
Citations
AI-driven Total Parenteral Nutrition Platform
This study will test an AI tool that suggests TPN formulas to doctors based on each baby's lab values and health information. Doctors can accept, change, or ...
AI-guided precision parenteral nutrition for neonatal intensive ...
We compiled a TPN dataset consisting of 79,790 prescriptions from 5,913 unique patients and linked them to their EHRs to develop a data-driven ...
3.
trial.medpath.com
trial.medpath.com/clinical-trial/ecb20a691fbdcec5/nct07414576-clinical-decision-support-total-parenteral-nutrition-neonatal-intensive-care-unitAI-driven Total Parenteral Nutrition Platform | MedPath
This study will test an AI tool that suggests TPN formulas to doctors based on each baby's lab values and health information. Doctors can accept ...
Standardized, Individualized, or AI-Based Approach to ...
Abstract. Parenteral nutrition (PN) is fundamental in the management of premature infants hospitalized in neonatal intensive care units (NICUs).
AI can help doctors give intravenous nutrition to preemies ...
Artificial intelligence can improve intravenous nutrition for premature babies, a Stanford Medicine study has shown.
AI-driven Total Parenteral Nutrition Platform
This study tests whether an artificial intelligence (AI) tool can help doctors order total parenteral nutrition (TPN) for babies in the ...
Standardized, Individualized, or AI-Based Approach to ... - PMC
Parenteral nutrition (PN) is fundamental in the management of premature infants hospitalized in neonatal intensive care units (NICUs).
AI-guided precision parenteral nutrition for neonatal ...
These challenges and risks associated with TPN highlight an opportunity for data-driven approaches like AI to improve safety, efficiency and ...
9.
pharmacypracticenews.com
pharmacypracticenews.com/Pharmacy-Technology-Report/Nutrition/Article/07-25/AI-Streamlining-TPN-Infant-Nutrition/77603Is AI Mature Enough to Prescribe IV Nutrition to Neonates?
The large volume of data allowed doctors to develop an algorithm (TPN 2.0) that was able to identify patterns indicating which TPN formulation ...
Artificial Intelligence in Parenteral Nutrition: Enhancing ...
Artificial intelligence (AI) has shown substantial potential to improve patient outcomes in parenteral nutrition by enabling individualised nutritional ...
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