Tech & Health Archive — Page 13 of 20
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March 3, 2021
REDCap Day highlights new features, innovative use cases
Each year at VUMC, REDCap Day brings together local users from VUMC, Vanderbilt University and Meharry Medical College for a morning of brief presentations on innovative use cases and new and upcoming features. -
February 11, 2021
Data mart speeds recruitment for COVID research
The arrival last March of the COVID-19 pandemic in Tennessee presented challenges for the clinical research enterprise at Vanderbilt University Medical Center. Prompt recruitment of patients newly diagnosed with COVID-19 into clinical trials was, and remains, a public health imperative with top-level backing from the federal government. -
February 11, 2021
Study will delve into EHR for signs of suicidality
Retrieval of clearer, more complete information from the EHR could go a long way toward improving predictive models of who will next be at risk of suicide, thereby improving care for patients with suicidal thoughts and behaviors. -
February 11, 2021
Ancker named vice chair for Educational Affairs in the Department of Biomedical Informatics
Health informatics expert and educator Jessica Ancker, PhD, MPH, has joined the Department of Biomedical Informatics as vice chair for Educational Affairs. Ancker comes from Weill Cornell Medical College and Weill Cornell Graduate School of Medical Sciences, where she was an associate professor. -
January 14, 2021
Neurology survey reveals high satisfaction for telehealth
A post-visit outpatient survey from VUMC’s Department of Neurology, conducted under an ongoing departmental quality improvement initiative, has turned up additional evidence of high satisfaction with telehealth among both patients and clinicians. -
January 7, 2021
Building a cohort, the easy way
An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions. -
December 10, 2020
Model students: improving clinical decision-making
Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.