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Contenuto fornito da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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The Big Unlock: Jim Beinlich, Inserting Data Back Into The Workflow To Make It Useful Is Challenge

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Manage episode 291507904 series 1758628
Contenuto fornito da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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. Jim shares their extensive protocols for integrating genomic data into patient records for diagnosis and treatment. Take a listen. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/
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3404 episodi

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iconCondividi
 
Manage episode 291507904 series 1758628
Contenuto fornito da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Healthcare NOW Radio Podcast Network, Healthcare NOW Radio, Podcast Network - Radio, and Podcasts for the Healthcare Industry o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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. Jim shares their extensive protocols for integrating genomic data into patient records for diagnosis and treatment. Take a listen. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/
  continue reading

3404 episodi

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