Listen "Jim Beinlich: Inserting data back into the workflow to make it useful is the number one challenge"
Episode Synopsis
In this episode, Jim Beinlich discusses the current state and maturity level of data and analytics in healthcare.
Healthcare lags other industries when it comes to using new technologies. The industry still needs to apply standardization, governance, and ensure data quality to get the right data at the right time to the right person. Jim states that one of the challenges with data is inserting it back into the workflow to make it useful. One of the important use cases of Penn Medicine’s data and analytics program has been the transition from traditional analytics to cloud-based tools and leveraging data lakes to unlock self-service data models.
Penn Medicine is one of the very few healthcare organizations to integrate genomic testing results into the EMR for diagnosis and treatment. Jim shares their extensive protocols for integrating genomic data into patient records for diagnosis and treatment. Take a listen.
Healthcare lags other industries when it comes to using new technologies. The industry still needs to apply standardization, governance, and ensure data quality to get the right data at the right time to the right person. Jim states that one of the challenges with data is inserting it back into the workflow to make it useful. One of the important use cases of Penn Medicine’s data and analytics program has been the transition from traditional analytics to cloud-based tools and leveraging data lakes to unlock self-service data models.
Penn Medicine is one of the very few healthcare organizations to integrate genomic testing results into the EMR for diagnosis and treatment. Jim shares their extensive protocols for integrating genomic data into patient records for diagnosis and treatment. Take a listen.
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