Intermountain said its Clinical Data Management team will first work with Layer Health to validate the AI’s ability to achieve high accuracy prior to deployment, ensuring the AI meets clinical ...

Data personas are fictional, data-driven profiles that reflect real user behaviors, needs, and pain points. This piece explores practical examples and how you can apply personas to create more ...

With automatic memory management and memory-safe pointers, the open source compiler TrapC is designed to make code written in C and C++ safer.

EHRmonize leverages large language models to automate and enhance the abstraction of medical concepts from electronic health records, significantly reducing annotation time by 60% and improving data ...

Use of real-world data in research demands that data pulled from electronic health records are accurate. New research from Ontada shows how doing a pilot ahead of the main chart abstraction ...

Biden administration calls for developers to embrace memory-safe programing languages and move away from those that cause buffer overflows and other memory access vulnerabilities.

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about ...