Computerized ECG Interpretation Software

Computerized ECG Interpretation Software Guest: Ian Rowlandson Hosts: Anthony H. Kashou, M.D. and Peter A. Noseworthy, M.D. (@noseworthypeter) Since the first human electrocardiogram (ECG) was recorded in 1887, the clinical use, means to interpret and ability to record cardiac biosignals have continued to evolve. Computerized electrocardiography software has helped with ECG interpretation, improved clinical workflow, and advanced the understanding of electrophysiology. Joining us today to discuss computerized electrocardiography is Ian Rowlandson, a biomedical engineer and chief scientist of diagnostic cardiology at GE Healthcare, which supplies Mayo Clinic's ECG technology. Specific topics discussed: Development of computerized electrocardiography software Evolution of the automated ECG interpretation process Interpretation and benefits of serial ECG comparison Common challenges in the development of ECG algorithms Common diagnoses that are difficult for ECG algorithms to capture Changes, including artificial intelligence, expanding the focus of ECG interpretation Future of computerized electrocardiography Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. Facebook: MayoCVservices LinkedIn: Mayo Clinic Cardiovascular Services NEW Cardiovascular Education App:The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today! No CME credit offered for this episode. Podcast episode transcript found here.