Extended Real-World Data: The Life Science Industry’s Number One Asset

The life science industry has historically relied on sanitized clinical trials and commoditized data sources (largely claims) to inform its drug development process—an under-substantiated approach that didn’t reflect how a new drug would affect broader patient populations. In an effort to gain more accurate insight into the patient experience and bring drugs to market more efficiently and safely, the industry is now expanding into extended real-world data (RWD).

To access the needed breadth and depth of patient-centric data, life science companies must partner with a healthcare transformation company that has three key qualities:

1. A broad and deep data asset.
2. Extensive provider partnerships.
3. An outcomes-improvement engine to support the next generation of drug development.

The Key to Healthcare Mergers and Acquisitions Success: Don’t Rip and Replace Your IT

Healthcare mergers and acquisitions can involve a lot of EMRs and other IT systems. Sometimes leaders feel like they have to rip and replace these systems to fully integrate organizations. However, this is not the answer, according to Dale Sanders. This report, based upon his July 2017 webinar, outlines the importance of a data-first strategy and introduces the Health Catalyst^® Data Operating System (DOS™) platform. DOS can play a critical role in facilitating IT strategy for the growing healthcare M&A landscape.

Seven Ways DOS™ Simplifies the Complexities of Healthcare IT

Health Catalyst Data Operating System (DOS) is a revolutionary architecture that addresses the digital and data problems confronting healthcare now and in the future. It is an analytics galaxy that encompasses data platforms, machine learning, analytics applications, and the fabric to stitch all these components together.

DOS addresses these seven critical areas of healthcare IT:

1. Healthcare data management and acquisition
2. Integrating data in mergers and acquisitions
3. Enabling a personal health record
4. Scaling existing, homegrown data warehouses
5. Ingesting the human health data ecosystem
6. Providers becoming payers
7. Extending the life and current value of EHR investments

This white paper illustrates these healthcare system needs detail and explains the attributes of DOS. Read how DOS is the right technology for tackling healthcare’s big issues, including big data, physician burnout, rising healthcare expenses, and the productivity backfire created by other healthcare technologies.