Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.

Among the 35 new fellows of the International Academy of Health Sciences Informatics are three Vanderbilt University Medical Center faculty members — Steven Brown, MD, MS, Bradley Malin, PhD, MS, MPhil, and Martin Were, MD, MS. All three have primary appointments in the Department of Biomedical Informatics.

On April 1, the Vanderbilt Clinical Informatics Center (VCLIC), in coordination with Health IT, launched a grassroots program called Clickbusters to stem alert fatigue at Vanderbilt University Medical Center.

For the world’s web users, Vanderbilt University Medical Center is working with Google to address COVID-19 information gaps.

Patient misidentification is an all too common cause of medical error. In low- and middle-income countries, free, open-source facial recognition software could provide an economical solution for verifying patient identity across health care settings, according to a study by Martin Were, MD, MS, and colleagues, appearing in the International Journal of Medical Informatics.

Enrollment in the Vanderbilt Health patient portal, My Health at Vanderbilt (MHAV), has surged in recent months.

Vanderbilt University Medical Center will study adult survivors of medical and surgical intensive care at high risk for long-term cognitive impairment to see if computerized cognitive rehabilitation (CCR) is effective in improving cognition in ICU survivors who often have trouble doing complex tasks, maintaining their finances and staying employed.