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iNICU Medical Private Limited is a start-up company established in 2016.iNICU Medical Private Limited 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 early diagnosis of critical diseases and improving overall quality of healthcare which is being provided to neonates.
The company strives to make early diagnosis of critical diseases and improving overall quality of healthcare which is being provided to neonates. NICU Cloud is suite of complete child healthcare solutions, iNICU (integrated Neonatal Intensive Care Unit) – is an IoT based platform which automatically captures real-time clinical data from the diversified connected devices and send data to Cloud Platform. The iNICU 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 technologis, which enhances the overall quality of healthcare provided to neonates in NICUs. It cater to all the responsibilities of various roles/owners (Nurse, Resident Doctor, Senior Doctor, Pediatrician and Administrator).
Minimal Medication Errors
The total dose of medication based on weight of the neonate is auto-calculated and timely reminders for administration of subsequent doses based on time of last dose are sent to nurses
Auto-Generated Progress Notes & Discharge Summary
Progress notes of neonates during the entire stay are automatically generated based on daily assessments – No need to write manually. Likewise, discharge summary is auto-generated regardless of length of stay of the baby.
Multiple device data on a single interface
Clinical parameters of the baby coming from multiple devices like monitor, ventilator and blood-gas machine can be viewed on a single screen.
Predictive analysis
Cognitive intelligence will assist clinicians in pattern finding and real-time analytics for early identification of diseases.
Alarms and notifications
Reminders and notifications for medications, feeds and timely neonatal screening are sent to doctors as well as nurses.
Accessible growth and prescription data
Developmental profile and digital prescription of the baby can be viewed on mobile application by parents.
Regular notifications for vaccination
Vaccination schedules can be viewed by doctors and parents, and upcoming vaccination reminders are sent to parents via SMS.
Longitudinal child health data of high risk babies
The discharge summary is carried forward from iNICU into iCHR , thereby maintaining the longitudinal data of the baby from birth to 12 years of age.
Medical Director
UCSF
Prachi Juneja
Chandigarh
Clinical Director
Stanford