Multimodal Clinical Monitoring in the Emergency Department (MC-MED)

Emergency department (ED) patients often present with undiagnosed complaints,
and can exhibit rapidly evolving physiology. Therefore, data from continuous
physiologic monitoring, in addition to the electronic health record, is
essential to understand the acute course of illness and responses to
interventions. The complexity of ED care and the large amount of unstructured
multimodal data it produces has limited the accessibility of detailed ED data
for research. We release Multimodal Clinical Monitoring in the Emergency
Department (MC-MED), a comprehensive, multimodal, and de-identified clinical
and physiological dataset. MC-MED includes 118,385 adult ED visits to an
academic medical center from 2020 to 2022. Data include continuously monitored
vital signs, physiologic waveforms (electrocardiogram, photoplethysmogram,
respiration), patient demographics, medical histories, orders, medication
administrations, laboratory and imaging results, and visit outcomes. MC-MED is
the first dataset to combine detailed physiologic monitoring with clinical
events and outcomes for a large, diverse ED population.