As the medical world transitioned to electronic health records, Stanford clinicians stepped up to trouble-shoot. Now they're innovating patient care.
A fourth-year medical student outlines the benefits of completing an ob-gyn rotation and delivering babies, despite having no plans to work in that area.
Stanford biomedical data scientist Dennis Wall and his team are using brief home videos of kids to help make rapid diagnostic decisions about autism.
Physician burnout leads to higher job turnover rates and increased financial costs to institutions, Stanford researchers find.
A Stanford Medicine magazine article shares four stories of digital medicine helping patients.
Thanks to a bone marrow transplant from his four-year-old brother, Ikkei Takeuchi is back to playing sports and enjoying life in the U.S.
In this final piece in the Understanding AFib series, physician Randall Stafford offers evidence-based advice for remaining healthy with the condition.
During a recent lecture on campus, Stanford neurosurgeon John Adler discussed his entrepreneurial journey.
In this sixth piece in the Understanding AFib series, physician Randall Stafford explains how medications, procedures and pacemakers can be used for AFib.
A medical student shares how both storytelling and story-listening can be beneficial for physicians (and their patients).
A Stanford-led study examines whether the Patient Activation Measure can serve as an early indicator that an effort is affecting health care costs
A first-year medical student talks about how she plans to maintain her sense of compassion during medical training.
When 12-year-old Lizneidy Serratos was airlifted to the Bay Area in early August, her heart was pumping so weakly that she could not walk or eat.
A new generation of brain cancer patients are working to improve care and connect and support patients using social media and advocacy.
Empathy is a skill that physicians can learn and, writes Dean Lloyd Minor, it’s definitely a skill worth learning.
A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
