The Health Data Revolution: More than Data, A Shift in Culture.

With more data science applications in healthcare around the globe, it is clear the industry’s transformation has already begun.  However, achieving the data maturity required to effectively leverage these capabilities does not come without significant challenges.

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Embracing Change

With manifestations of data science applications in healthcare increasingly apparent around the globe, it is clear the industry’s transformation has already begun. However, achieving the data maturity required to employ these capabilities most fruitfully does not come without significant challenges. The integration of data from multiple sources requires skills and technologies that can filter out the noise of voluminous input and process data that arrive in a vast array of forms, such as paper records, images, unstructured data, and streaming files. Data mined from the IoT and other fonts of valuable healthcare data can include video and audio documentation and qualitative and quantitative data. Therefore, it is necessary to employ NLP and alternative processing methods to interpret raw data and transform them into valuable formats.

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About Data Society

Data Society is a women-owned small business focused on enabling data science through training and custom AI/ML software and training academies. We recognize no two challenges are the same, and for that, we provide our clients with the white-glove services of our industry experts, data scientists, engineers, consultants, and instructional designers to solve the most thorny of data challenges today.

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jaime

Jaime De La Ree

VP Business Development 
Health & Finance Data Account Executive

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