Saving Children Lives,

The Data Way

“Giving Birth & being born brings us in the essence of creation”

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Adherence to clinical practices

Digitized Handovers

Predicting Neonatal Morbidities

About Us

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 to make an early diagnosis of critical diseases and improve the overall quality.

Products

NEO

An affordable neonatal bedside safety surveillance system
.

NEO is an IoT based device that can be connected to diverse bedside medical devices
irrespective of the brand enabling automatic capture of real-time vitals data and live camera
feeds. This data is then seamlessly parsed and pushed to the server using the Internet via WiFi.

 

NEO

An affordable neonatal bedside safety surveillance system
.

NEO is an IoT based device that can be connected to diverse bedside medical devices irrespective of the brand enabling automatic capture of real-time vitals data and live camera feeds. This data is then seamlessly parsed and pushed to the server using the Internet via WiFi.

 

iNICU

A product to streamline the entire workflow of the Neonatal Intensive Care Unit.

CHIL automates the workflow of NICU starting from the day of admission/birth until the discharge of the baby, thus reducing the responsibilities of users.

It also provides the doctors with a solution to all the problems related to manual paperwork (such as duplication of records while preparing progress notes and discharge summary) by automatically generating progress notes of hospital stay as well.

iNICU Intelligence

Improving neonatal monitoring using high definition phenotype.

iNICU Intelligence leverages the computational and technological advances in augmenting the algorithms required for predictive models by integrating clinical data from EMR, real time physiological data from bedside medical devices, laboratory results and live video streaming.

Using various algorithms and machine learning models, this product aims to optimize the length of stay (LOS), predict the onset and severity of diseases in neonates prior to clinical manifestation of symptoms thereby improving the clinical outcomes.

iNICU Intelligence

Improving neonatal monitoring using high definition phenotype.

iNICU Intelligence leverages the computational and technological advances in augmenting the algorithms required for predictive models by integrating clinical data from EMR, real-time physiological data from bedside medical devices, laboratory results, and live video streaming.

Using various algorithms and machine learning models, this product aims to optimise the length of stay (LOS), predict the onset and severity of diseases in neonates prior to the clinical manifestation of symptoms thereby improving the clinical outcomes.

iCHR

A product for the doctors and the parents to track the growth of the child post-discharge.

The development of a child is a continuous process. Importantly, the first five years are very significant for a child’s brain development and lifelong well being. Impaired health in those years can result in long-term implications for a child as well as a parent.

Thus, systematic child health surveillance is critical in reducing their morbidity and mortality rate in India, along-with maintaining child health and vaccination records electronically.


Our Clients

14 Robinson Road, #12-01/02 Far East Finance Building, Singapore 048545.
info@inicucloud.com | +91-11-40644232