Abstract 11386: Self-Service Analysis of Best Practice Alert Acknowledgement Comments as a Method for Evaluation Reveals Opportunities for Optimization of Clinical Decision Support for Patients with Prolonged QT Syndrome

MLA

Ray Qian, et al. “Abstract 11386: Self-Service Analysis of Best Practice Alert Acknowledgement Comments as a Method for Evaluation Reveals Opportunities for Optimization of Clinical Decision Support for Patients with Prolonged QT Syndrome.” Circulation, vol. 144, Nov. 2021. EBSCOhost, https://doi.org/10.1161/circ.144.suppl_1.11386.

APA

Ray Qian, Paul Johnsen, Johan M Bos, Michael J Ackerman, & Pedro Caraballo. (2021). Abstract 11386: Self-Service Analysis of Best Practice Alert Acknowledgement Comments as a Method for Evaluation Reveals Opportunities for Optimization of Clinical Decision Support for Patients with Prolonged QT Syndrome. Circulation, 144. https://doi.org/10.1161/circ.144.suppl_1.11386

Chicago

Ray Qian, Paul Johnsen, Johan M Bos, Michael J Ackerman, and Pedro Caraballo. 2021. “Abstract 11386: Self-Service Analysis of Best Practice Alert Acknowledgement Comments as a Method for Evaluation Reveals Opportunities for Optimization of Clinical Decision Support for Patients with Prolonged QT Syndrome.” Circulation 144 (November). doi:10.1161/circ.144.suppl_1.11386.