Google Cloud unveils AI tools to help healthcare analyze unstructured medical text

Updated

Unstructured data housed within EHRs or other medical notations house a wealth of relevant patient data that could be used for clinical research, accurate clinical modeling or streamlining other administrative tasks. However, the large volume of data organizations generate each day would require a substantial effort to record and analyze by hand.

"For healthcare professionals, the process of reviewing and writing medical documents is incredibly labor-intensive," Andreea Bodnari, a product manager at Google Cloud, wrote in the blog post announcement. "And the lack of intelligent, easy-to-use tools to assist with the unique requirements of medical documentation creates data capturing errors, a diminished patient-doctor experience, and physician burnout."

Google Cloud's tools are the latest seeking to address the longstanding challenge of unstructured data, and notably seek to do so with guided interfaces and other considerations that make these analyses more accessible to healthcare staff.

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