The hospital big data contains billions of data points collected from different sources within the healthcare facility. These data files are too large, complex to capture, store and manage for any data tool. Big data applications are rapidly transforming the healthcare industry by quickly transforming loads of such disparate and unstructured data into instantly available and highly actionable information.This data improves population health management, care delivery, performance reporting, and resource utilization.
Big data software applications represent the single most effective solution to addressing the multitude of problems faced by healthcare facilities, including the reduction of avoidable hospital readmissions.
A ‘hospital readmission’ is admitting a patient to the hospital within 30 days of discharge from a prior hospitalization. With the help of big data, hospitals can track the patients who are at a high risk of readmissions. There are various reasons of unplanned readmission such as surgical wound infections.
Big data applications aid evidence-based medicine, which involve making use of all clinical data available to improve patient outcomes. This includes improved ability to detect and diagnose diseases in their early stages, before clinical signs are present. This patient level care helps save lives and reduce suffering along with waste of resources.
Healthcare organizations also need to be able to detect fraud based on analysis of irregularities in billing data or patient records. Big data applications can analyze patient records and billing to detect over utilization of resources and services in a hospital.
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