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Amazon Launches Health Data Management System for Insurance Companies, Pharmaceuticals and Healthcare Systems

Amazon HealthLake is a new platform for storing health data in the cloud. In addition, it considers working not only with private sector companies but also with public health systems.

Amazon has launched a platform called Amazon HealthLake for the massive storage of data on the Internet, to serve health systems and pharmaceutical companies. Among its features, it highlights large-scale data storage for consultation, analysis and transformation. Its storage scale corresponds to petabytes, (more than one million gigabytes).

This platform seeks to unify health data, to manage them within the same structure, whether they are clinical notes, laboratory reports, insurance claims, medical images, recorded conversations, electrocardiograms or electroencephalograms. Amazon HealthLake's features allow to eliminate or reduce the work of data managers in companies or health centers, improving the ability to organize and structure patient information and thus display health data at the individual level and at the population collective level.

“Using the HealthLake APIs, healthcare organizations can easily copy health data in the Fast Healthcare Interoperability Resources (FHIR) industry standard format from on-premises systems to a secure data lake in the cloud. HealthLake transforms unstructured data using specialized machine learning models, like natural language processing, to automatically extract meaningful medical information from the data and provides powerful query and search capabilities”, Amazon Web Services said in its statement on the new platform's capabilities.

In other words, its interoperability features guarantee that data is shared in compatible formats between applications, and it also displays each patient's medical history in FHIR's standard format to promote the use of this type of technology and facilitate exchange between health centers and insurance companies.

Thanks to these functionalities and good data management, it will be possible to detect diseases early, even trends in population health such as the appearance of chronic diseases.

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