CHIL reduces prematurity risks through data analysis

The platform can monitor the early onset of morbidities of an infant.

In an effort to save infants from the effects of prematurity, healthtech startup Child Health Imprints (CHIL) created a platform based on IoT for neonatal intensive care units (NICUs) by capturing real-time clinical data from the connected devices, laboratory results, and bedside clinical observations.

It then collects and analyses data from the hospital information system (HIS), lab information system (LIMS) and connected medical devices such as monitors and ventilators. The key feature is a surveillance device called NEO, which is able to monitor the early onset of morbidities and length of stay using predictive analytics, as well as prevent medication errors by automating doctor and nursing progress notes.

“Genesis of the team is to find solution of the preterm morbidity and mortality across the globe. The innovation is protected by technology patents, domain expertise encapsulated in the form of deep learning analytics and managing huge data of neonates across regulated and nonregulated market,” said Ravneet Kaur, co-founder and vice president of CHIL.

It can also displays the infant’s post-discharge prescription data and encourages vaccinations until adolescence.

In November, CHIL secured $3.14m in a series A funding led by early-stage venture capital fund HealthXCapital. The startup is also backed by the investment arm of Enterprise Singapore, Seeds Capital.

“CHIL holds great potential to be rolled out in tier 2 cities in a hub-and-spoke model to enhance access to neonatal care where we don’t have neonatologists. In its aspired state, CHIL shall enable a neonatologist located in a tier 1 city to manage cases located in tier 2 cities remotely,” said Seemant Jauhari, managing partner at HealthXCapital.