Rush University Medical Center has identified an opportunity to standardize treatment and improve outcomes for their patients by drawing structured insights (SNOMED codes) from previously-unstructured data. Specifically, the provider, pathology, and lab notes stored in their EMR system contains all of the data necessary to generate a more complete picture of patients’ health experience, from complaint and diagnosis to treatment and outcome. Maven Wave is working with Rush to implement a solution to map notes to SNOMED codes, allowing for a more objective approach to clinical care.
Maven Wave, Rush, and Google are working to address this challenge. We are creating a solution that will allow for a more objective approach to clinical care by connecting symptoms, treatments, and outcomes. This broad goal will be achieved by:
- Standardizing and operationalizing transfer of legacy and ongoing note data into a cloud repository for ease of processing.
- Creating a scalable architecture that can work for pilots through system-wide implementations.
- Extracting key medical definitions from unstructured notes and enriching them with treatment and outcome data to create insights for better patient outcomes.
- Enabling continuous improvement through more advanced AI models (e.g., semantic data layer) and wider availability to the broader Rush ecosystem.
Cloud Healthcare API → https://bit.ly/2UfpYVp
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Speaker(s): Vasudha Gupta, Jawad Khan, David Patterson
Session ID: DA111
product:Cloud Healthcare,BigQuery,Cloud Dataflow; fullname:Vasudha Gupta;