Harness the power of big data and AI to personalize healthcare and improve patient outcomes
Enable healthcare organizations to drive innovations in patient care while reducing costs with big data analytics, machine and AI — powered by the Databricks Unified Data Analytics Platform.
Build anomaly detection models on top of claims, billing, and behavioral data to identify and prevent payment of fraudulent claims, unnecessary treatments or potential identity theft.
Predictively determine best treatments and optimize the quality of care through the aggregation and analysis of relevant patient history and care data across all healthcare channels.
Leverage machine learning to drive operational efficiencies across a variety of areas such as preventing patient readmission, predicting bed utilization, transcribing doctors notes and more.
Learn how the healthcare industry is applying the latest machine learning techniques against massive volumes of clinical data to drive innovations in care
Learn how Prognos built ML pipelines on 25 billion clinical lab records with Databricks, Apache Spark™ and AWSWatch Now
Learn how Sanford Health is leveraging machine learning to provide customized treatments for patients. By making primary care recommendations on a patients health history and genetic background, Sanford personalizes preventative treatment instead of using a “one size fits all” approach.Watch Now
Optum is a leading health services company servicing more than 126 million patients. In this Spark + AI Summit talk, Optum shares how they use machine learning on Databricks and Spark to predict chronic disease from historical claims and clinical data.Watch Now
HealthDirect Australia reduced the processing latency for a dataset with millions of healthcare records from a day to minutes. This improved latency provides them a real-time view of the patients they service, enabling them to provide more timely services to the citizens of Australia.Read More
In this recorded webinar with Prominence Advisors, you will learn how to unlock insights buried in siloed EHR data. With the power of the scalable Databricks platform, you can build power predictive models that can help identify patients at a high-risk of developing sepsis.Watch Now
In this technical talk, NewWave shares an open-source data validation framework they built on Apache Spark for the Centers for Medicare and Medicaid Services.Watch Now
Learn how to build an end-to-end ML pipeline for streaming EKG data using Delta Lake, Keras and MLflow.Watch Now
"Databricks allows us to take clinical research and development and turn it into a clinically validated screen in far less time, which allows us to save us a lot of the money and effort it would generally require to do this on our own on-premises computational platforms."
Read the Case Study