A patient acuity model drove efficient and safe staffing through data from a natural language processing model informed by oncology nurse insights. Predicting proper nurse staffing levels in infusion ...

Atropos Health's Evidence Network has grown to include the data resources of pharmaceutical-focused Forian and international patient data resources from Syndesis. The addition of the companies brings ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...

Chronic wounds affect thousands of patients each year and can lead to serious complications, including amputation and death.

In the complex world of interoperability, ensuring that the right patient data is accessible across healthcare providers is not just a technical challenge, it’s also a lifeline for patients, ...

The new federal Health Technology Ecosystem that President Donald Trump announced from the White House on Wednesday is designed to kill the need for faxed patient records and open up app-based ...

A recent study in South Korea has explored the use of a cryptographic scheme widely used in secure elections to protect patient data used in training AI models. Researchers from Asan Medical Center ...