Healthcare organizations often create data silos by buying or building new data warehouses, data lakes and applications – disconnecting key business units and driving up costs in the process. Another standalone, point solution isn’t the answer. An enterprise platform that is change-friendly and integrates data faster lies at the heart of success.
MarkLogic empowers organizations across the healthcare ecosystem – including health plans, hospitals, clinically integrated networks, health IT vendors, and pharmaceutical companies – to succeed in this dynamic and increasingly value-based market.
Traditional approaches to data integration have built up technical debt. A data hub has emerged as a more agile approach to keep up with today’s fast moving business demands. Read this comprehensive guide for enterprise architects and learn the principles of a data hub and how it is being used in healthcare and life sciences.
Data is the fuel that powers your innovation, improving your organization’s agility, speed and performance while reducing costs. Learn the three signs technology is holding you back and what you can do to extract more value from all of your data in a lot less time.
See the MarkLogic platform in action to support an Operational Data Store. In this demo, see a nuts-and-bolts demonstration of how to combine, track, master, analyze and query Medicaid data using the MarkLogic platform.Learn More
Tasked with the unprecedented ask of providing health insurance to millions of uninsured Americans, the Centers for Medicare & Medicaid Services concluded that MarkLogic’s database platform provided the scalability and agility required to meet an 18-month timeframe from procurement to launch.
Having access to all of your data, regardless of platform, can enable more informed business decisions and drive innovation. Listen to a discussion on the importance of mainframe data and learn how a large healthcare provider was able to quickly access their mainframe data to power business success.
With the pace of change in healthcare and human services delivery today, the wide variety of data formats and the extreme volumes of data, traditional relational data warehouses no longer suffice. Next generation healthcare data warehouses must not only handle the volume, variety, and velocity of data from any desired source – but do it without sacrificing enterprise features.