Health systems have a large amount of patient data through EHRs and other digital platforms managing administrative tasks and clinical care. The de-identified patient data is useful for creating large ...

Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

AI can help transform patient feedback into actionable insight, helping healthcare leaders detect trends, improve experience ...

Health care data exists in many forms, from medical records held in health care facilities to information captured through daily routines and lifestyle choices. This includes vital signs, medication ...

Patient safety challenges are exacerbated by healthcare workforce challenges. However, a workplace culture focused on measuring what goes wrong and making changes to address root causes – powered by ...

You arrive at the scene to find a patient struggling to breathe. They can’t speak clearly, no family is present, and no one knows their medical history. What medications are they on? Do they have life ...

The health care industry produces an astonishing amount of data: nearly one-third of the world’s data volume. The amount of data health care providers generate can seem overwhelming—and it can ...