Child Health Imprints is a Singapore based start-up company established in 2018.
Child Health Imprints is engaged in the development and application of cutting edge informational and computational technologies including IoT, artificial intelligence and predictive analytics to the practice of medicine in neonatal intensive care units across the world with the objective of making an early diagnosis of critical diseases and improving the overall quality of healthcare which is being provided to neonates.
The CHIL cloud platform also integrates laboratory results, and bedside clinical observations. It then analyses the data in medically comprehensive formats leveraging Machine Learning and Deep Learning technologies, which enhances the overall quality of healthcare provided to neonates in NICUs.
iNICU caters to all the responsibilities of various roles/owners (Nurse, Resident Doctor, Senior Doctor, Paediatrician, and Administrator) with an effort to virtually eliminate human error in neonate health monitoring. The solution’s USP lies is in live data monitoring which can be done anytime, anywhere (agnostics to NICU device vendors), generating the auto-discharge summary and prediction of onset of infections & other perinatal health problems.
Once the baby is discharged from NICU, the clinical data at the time of discharge is pushed into iCHR (Integrated Child Health Record) which automates growth monitoring, prescription, vaccination record & appointment scheduler for the child.
Improving neonatal outcomes by emphasising on the collection, storage, and analysis of clinical, physiological, and laboratory data in a format that can assist the clinicians to focus on the most critical information and by predicting the most significant clinical events.
A solution for every aspect of Child Health to save the neonatal and paediatric lives the data way.
C – Credible (Someone who can be believed in and trusted upon)
H – Humane (Marked or motivated by concern with the alleviation of suffering)
I – Innovative (Being like nothing done or experienced or created before)
L – Lives (Saving the lives of neonates-the Data Way)
Research & Development
iNICU improves clinical care by integrating several standardized key calculators used in neonatal care, including calculators related to gestational age-based dose, nutrition calculators, caloric, and dextrose infusion rates.
Nutritional requirements need to be computed in a step-wise orderly manner for feedings, medication administration, IV fluid (dextrose/salts) rates, and blood transfusions.
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