Clinical trials underrepresent women, children, and adults aged 65 years or older, so diabetes guidelines must be adapted to ...

Clinical evidence is always evolving, but traditional clinical process map development and EHR build cycles often take months ...

Please provide your email address to receive an email when new articles are posted on . Inappropriately factoring race into clinical decisions risks worse care for patients from underrepresented ...

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...

The Viz Oncology Suite is a clinical decision support system that integrates seamlessly with the electronic health record to ...

Clinical algorithms may improve if race variables are replaced with causal factors associated with race, such as healthcare access, education and economic position, according to a study published Jan.

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms ...

Healthcare AI is scaling faster than clinical safety. Without clinicians in the loop, companies face growing liability, ...