On November 6th and 7th of 2017, Corrie team member Jane Wang had the opportunity to present her proposal at the 2017 American Medical Informatics Association Annual Symposium’s Student Design Challenge. The AMIA Symposium was held in the Washington DC’s Hilton hotel and featured talks on a broad range of topics ranging from the data science behind genomic informatics to applications of machine learning on consumer health technology.
Jane collaborated with Shannon Wongvibulsin (MD/Ph.D candidate in Biomedical Engineering, PI: Dr. Scott Zeger), Katie Henry (Ph.D Candidate in Computer Science, PI: Dr. Suchi Saria), and Saki Fujita (BS candidate in Biomedical Engineering) to form a diverse and cohesive team with a range of expertise including precision medicine, machine learning, and biomedical engineering, respectively. Their proposal, titled “Quantifying and Visualizing Medication Adherence in Patients Following Acute Myocardial Infarction,” proposed integrating Corrie users’ patient-generated data into the Epic EHR on a daily basis and generating heat map visualizations of their medication adherence and physical vital signs that could be used for evaluation and interpretation by both patients and providers. The team further proposed the incorporation of machine learning algorithms that would prompt actionable items for both patients and providers in the case of abnormal findings. The team presented both a poster and oral presentation at the conference. Their oral presentation won 3rd place out of a total of 17 submissions and was a wonderful learning experience for everyone. Congratulations to Jane, Shannon, Katie, and Saki!