Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice

Launched by YORK UNIVERSITY · Oct 11, 2022

Keywords

ClinConnect Summary

This clinical trial is studying how to better recognize and understand the pain experienced by premature infants in the Neonatal Intensive Care Unit (NICU). Researchers are using advanced technology called machine learning to create a system that can identify different types of distress in these infants more accurately. This could help improve how healthcare providers care for and manage pain in vulnerable newborns.

The trial is looking for participants in two main groups. First, parents of infants currently in the NICU or healthcare professionals working there can take part in interviews to share their experiences. Second, they are seeking infants born between 28 to 32 weeks of gestation who are within six weeks of birth and need a routine heel prick for blood testing. However, infants with certain conditions, like congenital malformations or those receiving specific medications, are not eligible for this part of the study. Participants can expect to contribute to important research that may improve pain management practices for newborns in the future.

Gender

ALL

Eligibility criteria

• • QUALITATIVE INTERVIEWS
• * Inclusion Criteria:
• • parents of a child currently in the NICU or
• • health professionals currently working in the NICU.
• * Exclusion Criteria:
• • Participants who cannot communicate fluently in English
• • QUANTITITATIVE DATA CAPTURE (video, eeg, ecg, SPo2)
• * Inclusion Criteria:
• • Infants born between 28 0/7 weeks 32 6/7 weeks gestational age
• • Infants who are within 6 weeks postnatal age
• • Infants who are undergoing a routine heel lance
• * Exclusion Criteria:
• • Infants with congenital malformations
• • Infants receiving analgesics or sedatives at the time of study (aside from sucrose),
• • Infants with history of perinatal hypoxia/ischemia at the time of study.
• • Infants with diaper rash or excoriated buttocks