A product to streamline entire
workflow of Neonatal Intensive
CHIL automatizes the workflow of NICU starting from the day of admission/birth till 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 …
Even the calculations of drug dosage and nutrition as per the changing weight of the baby are done manually and the real-time data such as heart rate coming from devices connected to the baby is noted manually (on hourly basis by considering only the maximum/average values). These manual entries and calculations have potential to result in high error rate.
In addition, the data produced every second by devices is stored for a maximum of 72 hours and significant quantity of this crucial physiological data may remain unexplored.
The system comes with screens that are the exact replica of the NICU workflow like admission form, assessments and nursing charts. In addition, the system captures real-time clinical parameters of every neonate coming from multiple devices (which can be viewed on a single interface) and stores variations of the same forever on the cloud, so it can be accessed by the doctor at any point of time. In order to reduce human errors, the system has automatic calculators for ordering / prescribing /monitoring feeds and medication statuses.
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 as discharge summary.
iNICU leverages Beaglebone and Intel Edison based IoT integration with biomedical devices in NICU to capture real time vital parameters. These parameters captured by iNICU amount to millions of data points per day per child. Stream of data is sent to Apache Kafka layer which stores the same in Apache Cassandra NoSQL.
The data of feed intake, urine output, and daily assessment of child are captured in PostgreSQL database. INICU thus performs the role of the first Big Data hub (of both structured and unstructured data) of neonates across India offering temporal (longitudinal) data of their stay in NICU.
This not only allows clinicians to evaluate the efficacy of their interventions, but also provides avenues for translational research. To augment the research purposes, iNICU leverages drools based clinical rule based engine and deep learning based big data analytical model coded in R and PMML.
As a new mom, I’ve loved this app called iCHR. I’d recommend it to other parents who aren’t able to take out a lot of time for their kids health. This app is soooo amazing. I just loved it. Nice idea and quick access to my angel health record.
Prachi Juneja – Chandigarh
iNICU as a solution has the vision and capability of defining physical phenotype of the infant which can be evaluated longitudinally over a period of time.
Medical Director – USCF
iNICU : We need a published study (randomized following international standards) in a serious medical publication and then consider iNICU for improving clinical practices.
Clinical Director – Stanford
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