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Desperate diseases seek desperate remedies. It now emphasizes urgency to deal with this healthcare scenario considering the seemingly insurmountable- resource allocation challenges in healthcare – triggering extraordinary measures to surmount it. Whether it is about grappling with the unknowns or dealing the demand vs supply imbalance, healthcare organizations are using machine learning for resource allocation in healthcare. How do healthcare organizations use machine learning for… Read More »USING MACHINE LEARNING FOR RESOURCE ALLOCATION IN HEALTHCARE

As we are entering 2020 which completes first 20 years of 2000 era, it is time to look at the crystal ball and predict what lies ahead in 2020 for healthcare. As of now since 2000, Healthcare Industry has gone through many changes in terms of regulations, technologies and automation. Few new concepts surfaced on the floor like, Remote care, Interoperability (FHIR), AI, Machine Learning,… Read More »Health Care Industry top trends For the Year 2020

Today, patient data can be acquired from various sources, which in turn poses challenges for healthcare organizations in terms of consolidating patient data. It becomes even more challenging considering the different forms as well as types of data encompassing flat files, databases and images among other types. With unceasing flow of data into healthcare systems and with data promising insights to be leveraged for treating… Read More »3 Things to Consider to Leverage Patient Data Collection in Healthcare