Earlier this year, Jessica Scarborough, a third-year student in the Medical Sciences Training Program, and Lauren Fane, who is in her first year of the program, competed in the MD++ Datathon, a new national healthcare data analysis competition.
Scarborough’s team, WebMDs, won third place. The team’s project found that socioeconomic factors influence cost burden more than individual health characteristics in deliveries involving severe maternal morbidity.
Fane’s team, WeLoveRData, earned a finalist standing. That team found that of patients who develop postpartum hemorrhage, Black patients are more likely to develop severe maternal morbidity, after controlling for other sociodemographic factors.