Healthcare
Healthcare organizations are moving towards cloud adoption due to the demand for innovation in patient care in a quick-paced and highly regulated environment. Through the use of Big Data and Analytics to AI, IoT, and Machine Learning powered diagnostics, the healthcare systems can be more personalized, accurate, and effecient. InNeed, by leveraging the cloud, can help healthcare organizations to work better, complying with all the regulations, and also improve diagnostics and patient outcomes.
Innovating in HealthCare
Health Informatics
Information is vital for not only a patient's survival, but also for future references. Using the cloud, we can store huge amounts of medical data, that can use machine learning to give personalized treatment to patients and detect issues with accuracy.
Complying with Standard
With our deep knowledge in healthcare IT, we can build systems that use data exchange standards widely adopted for electronic health records, including HL7 JSON and FHIR standards.
End to End journey
Patients with a particular disease, go through many stages. We build systems that follow the patient throughout their lifecycle, from detection to treatment to post treatment engagements.
Healthcare
THE iPICS PROJECT
interactive Prostate Cancer Information, Communication, and Support or iPICS in short, is a client-server model-based DSS system in the cloud. In iPICS we are building a HIPPA compliant interactive, multi-module application that will collect, store, analyze patient EMR, EHR data and apply Machine Learning to facilitate personalized care. This system uses data exchange standards widely adopted for electronic health records, including HL7 JSON and FHIR standards
