Fraud Detection

Machine learning presents a solid opportunity for the industry and regulators to fight back against fraudsters. By automatically combining hundreds of variables from different datasets, including patient/prescriber history, interaction graphs, prescription characteristics, and other contextual data, it became possible to target actual fraud cases. Benefits for the company Insurance fraud is a major issue that …

Smart Health Records

Maintaining up-to-date health records every day is exhausting as well as time-consuming. Handwritten recognition technology are used for documentation of prescriptions and other health information. Mmachine learning technologies cana be used to enhance the management of health information and health information exchange. The goal is to facilitate access to clinical data, modernize the workflow in …

Predictive analytics in Healthcare

Predictive Analytics is playing an important role in improving patient care, chronic disease management and increasing the efficiency of supply chains and pharmaceutical logistics. Population health management is becoming an increasingly popular topic in predictive analytics. It is a data-driven approach focusing on prevention of diseases that are commonly prevalent in society. Benefits for the …

Medical Imaging

There are various imaging techniques like X-Ray, MRI and CT Scan. All these techniques visualize the inner parts of the human body. With the advent of deep learning technologies in data science, it is now possible to find such microscopic deformities in the scanned images. Through image segmentation, it is possible to search for defects …

Staffing Optimization & Operations

In order to adapt staffing to daily needs, data platforms can drive better anticipation of patient demand (through patient forecasting), ensuring that there are enough health care providers to support a patient load. A major use case for machine learning in operations is predicting hospital bed or emergency room availability. Emergency room overcrowding is an …

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