Duke+DataScience (+DS) is pleased to present a session on Tuesday, September 29, “COVID-19 and the Telehealth Transformation: Insights into MyChart using Natural Language Processing.”
This session is open to all, and we especially encourage clinicians and members of the health system to join us, as well as students and learners interested in healthcare-facing applications.
COVID-19 has led to the rapid adoption of telehealth strategies in order to maintain continuity of care. As compared to in-person visits, important changes in patient characteristics were seen in telephone and video visits as well as clinician ordering patterns. In addition, MyChart patient portal usage increased dramatically. To better understand the increasing number of unstructured MyChart messages, we applied both unsupervised and supervised machine learning tools to patient-generated messages, and will present select initial Duke clinic utilization data before and during COVID-19.