Analyzing unstructured data aids Rush in improving outcomes

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Rush University Medical Center is working with Maven Wave to understand insights from unstructured data to support improved patient outcomes.

Using a Google cloud platform, the entities mapped unstructured data in the Rush electronic health records system and converted the data to structured insights via SNOMED codes.

The organizations also applied natural language processing, machine learning and other technologies to help administer cancer screenings for at-risk patients to support early detection and confirm that pre-surgical physicals are done.

They then enhanced clinical documentation, improving outcomes and the patient experience with the Chicago hospital improving compliance and saving time, money and resources, according to Shafiq Rab, MD, senior vice president and CIO at Rush System for Health and the medical center.

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Now, Rush has increased internal and external collaboration, created a user experience to find notes and perform analytics, used a computer to speed assessing of a large number of notes, and created a single source of truth via a searchable repository for all processed and unstructured data.

“One of our main objectives is to find ways of administering healthcare so that costs decrease and outcomes improve for patients,” Rab says. “To achieve that goal, the most important piece of the puzzle is information. This partnership with Maven Wave and Google Cloud allows us to develop that deep, actionable insight and provide the right information to the right person at every turn.”

Maven Wave is a consulting and technology firm.

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