How should an algorithm generate recommendations for patient care?
Dr. Jonathan Chen and his colleagues are working to answer the question, "How should an algorithm generate recommendations for patient care?" This question was tackled as the latest step in Dr. Chen’s quest to build OrderRex, a tool that will mine data from electronic health records to inform medical decisions.
Hernandez-Boussard and Colleagues Find that SSRIs Reduce the Effectiveness of Hydrocodone and Codeine
Research led by BMIR's Tina Hernandez-Boussard, colleague Ian Carroll and grad student Arjun Parthipan found that patients on SSRIs such as Zoloft, Paxil and Prozac who were prescribed prodrug opoids such as hydrocodone or codeine experienced more post-surgery pain than patients not on SSRIs. Hernandez-Boussard's team built a machine-learning algorithm that predicts how a patient will respond to different types of opoids.
Tierney Receives Kaiser Family Foundation Award for Preclinical Teaching
BMIR’s Michael Tierney is a recipient of the Henry J. Kaiser Family Foundation Award for Preclinical Teaching! The MD Program Teaching Awards honor faculty, residents, students and staff who have made outstanding contributions to medical student education at Stanford and are nominated by Stanford medical students.
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