Given the sensitive nature of patient health information, the lack of interoperability between and within health systems and the need for large amounts of data to help in decision making, the industry is using synthetic data. Synthetic data is based on real-world data to make it realistic, but it doesn’t use actual patient records so that privacy is protected, and it’s formatted perfectly for analysis, solving the interoperability challenge that comes with actual data. It also contains the desired datasets and nothing more, which results in faster data processing.

Synthetic data joins predictive analytics, machine learning and artificial intelligence in a landscape dominated by mountains of data.

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