Healthcare providers receive data from many disparate sources: hospitals, doctors’ offices, labs and lab machines, medical devices, pharmacies, and more. Investment in the correct infrastructure to ...

Healthcare organizations are investing rapidly in AI and advanced analytics, yet many struggle to translate clinical data into tools that are safe, equitable, and useful in real care settings.

Managing non-EDC (Electronic Data Capture) data integration in clinical trials is a challenge that holds significant promise. As clinical studies continue to draw on data from wearable devices like ...

Genome Medical is making genetics care accessible and actionable for patients through seven-day-a-week access to genetic services. By partnering with health systems, molecular testing laboratories and ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...