The tools of digital health are facilitating a much needed paradigm shift to a more patient-centric health care delivery system, yet our healthcare infrastructure is firmly rooted in a 20th Century model which was not designed to receive medical data from outside the traditional medical environment. COVID-19 has accelerated this adoption and illustrated the challenges that lie ahead as we make this shift. The diverse ecosystem of digital health tools share one feature in common: they generate data which must be processed, triaged, acted upon and incorporated into the longitudinal electronic health record. Critical abnormal findings must be identified and acted upon rapidly, while semi-urgent and non-critical data and trends may be reviewed within a less urgent timeline. Clinically irrelevant findings, which presently comprise a significant percentage of the alerts, ideally would be removed to optimize the high cost, high value resource; i.e., the clinicians' attention and time. We need to transform our established health care infrastructure, technologies and workflows to be able to safely, effectively and efficiently manage the vast quantities of data that these tools will generate. This must include both new technologies from industry as well as expert consensus documents from medical specialty societies including the Heart Rhythm Society. Ultimately, research will be fundamental to inform effective development and implementation of these tools.
Digital Health in Electrophysiology and the COVID-19 Global Pandemic