Deliver quality healthcare through data-driven medicine:

Submitted by admin on Fri, 08/07/2020 - 11:05

Anticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Ravi Ramaswamy and Anirban Ghatak on a live webcast: ‘Deliver quality healthcare through data-driven medicine’: Why should you use Databricks for your next Healthcare analytics project? 

The domain of healthcare generates large amounts of data, driven by healthcare providers, hospitals, insurance, and regulatory and compliance requirements. And we continue to see datasets generated in the situation of the pandemic. Access to information and technology, application of analytics, AI and ML over big data provide opportunities for actionable insights for improving the delivery of healthcare. 

To understand how modern technologies are transforming healthcare, watch Anirban as he spins different Databricks clusters and leverages the power of Apache Spark to perform data analysis. Get insights on how data scientists can focus on improving patient outcomes by removing complexities of big data. Learn how databricks allows the processing of high volumes of healthcare data to deliver rich insights.

Key takeaways:

  • what does it mean for healthcare organizations?

  • How is the power of analytics married with strategic decision making?

  • With smart science and technology, and good business, can we get the “care” back in “healthcare”?

  • Can we see happier healthcare providers, healthier patients, improved physician-patient relationships?

Get the deepest insights from Ravi Ramaswamy, Senior Director and Head, Health Systems at Philips Innovation Campus as he shares his experiences and views on Healthcare Analytics and why it matters.

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Deliver quality healthcare through data-driven medicine
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Why should you use Databricks for your next Healthcare analytics project?
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https://www.youtube.com/embed/6X6ZB8maX5E