The ability to make the right decisions quickly hinges on the best data ingestion available. The reward is improved patient experience and health. The Internet of Things (IoT) promises mountains of data-at-rest and the continuous flow of data-in-motion. Without the right solution, the cost to store the data and then derive information from these disparate sources can leave a healthcare company critically unequipped to provide excellent patient experience.
As a pioneer in the healthcare industry, Geisinger Health System (Geisinger) transitioned its architecture to meet the business needs of an ever-changing industry. Based in Danville, Pennsylvania, Geisinger is one of the largest health service organizations in the United States, serving more than 3 million residents throughout Pennsylvania and southern New Jersey. You can read the full case study here.
Geisinger will be at this year’s San Jose DataWorks Summit to share how it has gone from pioneering new technologies to leading the industry in customer care with Big Data. Join Mark Mossel, Data Management Director II, and Dhruv Mathrawala, Data Architect, at Geisinger, as they deliver an informative breakout on how Geisinger abandoned traditional EDW in favor of Hortonworks Data Platform. You don’t want to miss this Enterprise Adoption story on Thursday, June 15th, at 3:00pm
Big Data at Geisinger Health System: Big Wins in a Short Time
Geisinger Health System is well known in the healthcare community as a pioneer in data and analytics. We have had an Electronic Health Record (EHR) since 1996, and an Electronic Data Warehouse (EDW) since 2008. Much of daily and weekly operational reporting, as well as an abundance of ad hoc analytics, come from the EDW.
Approximately 18 months ago, the Data Management team implemented Hadoop in the Hortonworks Data Platform (HDP), and successes in implementation and development have proven to the organization that we should abandon the traditional EDW in favor of the Big Data (HDP) platform.
In less than 18 months, we stood up the platform, created a data ingestion pipeline, duplicated all source feeds from the EDW into HDP, and had several analytics developed with HDP and Tableau. Furthermore, we have exploited the new capabilities of the platform, where we use Natural Language Processing (NLP) to interrogate valuable (but previously hidden) clinical notes. The new platform has data that is modeled and governed, setting the stage to push Geisinger Health System from a pioneer to a leader in Big Data and Analytics.
This session will focus on Hortonworks Data Platform, covering data architecture, security, data process flow, and development. It is geared toward Data Architects, Data Scientists, and Operations/I.T. audiences.
To see how Geisinger Health System and other companies leverage Big Data to pioneer and Be First in their respective industries, register for the DataWorks Summit today!