Development of data dictionary for neonatal intensive care unit: advancement towards a better critical care unit
Critical care units (CCUs) with extensive use of various monitoring devices generate massive data. To utilize the valuable information of these devices; data are collected and stored using systems like clinical information system and laboratory information management system.
Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU)
We report the design and implementation of an affordable bedside device, Neo is capable of acquiring vital data in real time by integrating with diverse devices connected to newborns in neonatal intensive care units (NICUs). NICUs are equipped with multiple vital sign monitoring devices that are connected to the premature newborn and acquire a few gigabytes of data every day. The continuous vital data from these devices are manually documented every hour. This introduces errors and loses a large amount of high-resolution data. The intermittent documentation of physiological data also makes it difficult for clinicians to visualize and detect the trends of diagnostic utility. Neo is built on an affordable Internet of Things platform that aggregates and sends the real-time data to a cloud-based big data platform called integrated NICU.
Neo automates immediate vital sign status and past trends as graphs or charts that the doctor and nurses can view from anywhere through the Internet. Physiological signal and clinical parameters from Neo is used to score different diseases like sepsis, respiratory distress syndrome, necrotizing enterocolitis, and retinopathy of prematurity. This score predicts the physiological health of the newborn and aid clinicians in decision-making ensuring timely intervention.
Web & Mobile based Child Health Imprints for Smart Healthcare
Reducing child mortality with quality care is the prime-most concern of all nations. Thus in current IT era, our healthcare industry needs to focus on adapting information technology in healthcare services.
Barring few preliminary attempts to digitalize basic hospital administrative and clinical functions, even today in India, child health and vaccination records are still maintained as paper-based records.
Also, error in manually plotting the parameters in growth charts results in missed opportunities for early detection of growth disorders in children.
To address these concerns, we present India’s first hospital linked, affordable automated vaccination and real-time child’s growth monitoring cloud based application- Integrated Child Health Record cloud (iCHRcloud).
Integrated Neonatal Care Unit: Capturing Neonatal Journey in an Intelligent Data Way
iNICU (integrated Neonatology Intensive Care Unit) leverages Beaglebone and Intel Edison based IoT integration with biomedical devices in NICU i.e. monitor, ventilator and blood gas machine.
iNICU is hosted on IBM Softlayer based cloud computing infrastructure and map NICU workflow in Java based responsive web application to provide translational research informatics support to the clinicians.
iNICU captures real time vital parameters i.e. respiration rate, heart rate, lab data and PACS amounting for millions of data points per day per child.
iNICU solution aims to improve care time, fills skill gap, enable remote monitoring of neonates in rural regions, assists in identifying the early onset of disease, and reduction in neonatal mortality.
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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