Resource Library

When SHD Group took a fresh look at its long-established technology landscape, nothing was taken for granted.

Unify data from disparate systems into a real-time connective layer and provide predictive and prescriptive analytics that enable faster, smarter decisions without replacing or disrupting existing infrastructure.

Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.

Independent Research Study of InterSystems IntelliCare at EMC Healthcare

The future of healthcare will be shaped by whether AI fits naturally into clinical work, whether clinicians trust it, whether governance makes adoption safer, and whether outcomes can be measured in real healthcare environments.

A Data Platform Built for Healthcare Complexity

Dr. Emeline Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.

Reduce Canceled Procedures Due to Inventory Shortages