COVID-19: Accelerating Real-time Electronic Data Capture for Tracking, Learning & Improvement-COVID-19: Accelerating Real-time Electronic Data Capture for Tracking, Learning & Improvement Slides

COVID-19: Accelerating Real-time Electronic Data Capture for Tracking, Learning & Improvement Slides

Pdf Summary

The document provides a summary of a webinar series focusing on the advancement of clinical registries to support pandemic treatment and response in the context of COVID-19. The series aims to address key questions related to the rapid development, deployment, and implementation of clinical registries and repositories. The webinar featured speakers such as Atul Butte, MD, PhD, Andrew Ip, MD, MS, Subha Madhavan, PhD, and others discussing topics like real-time electronic data capture for tracking and learning, as well as the development of databases like RE-COV-Ry and UC Health Data Analytics Platform. Additionally, insights on initiatives such as the Thoracic cancers international COVID-19 collaboration (TERAVOLT Registry) and automating statewide medical surge capacity data collection during a pandemic were also shared during the webinar. Efforts to integrate various datasets to improve research, learning, and patient care were highlighted, emphasizing the importance of collaboration between academic medical centers, specialty societies, and data scientists. The upcoming webinars in the series will delve into reflections on COVID-19 failures and integrating patient-generated data into registries. The document stresses the importance of comprehensive clinical datasets, leveraging AI algorithms, best practices for resource allocation, and cooperative efforts to maximize efficiency in addressing the challenges posed by the pandemic.

Keywords

clinical registries

COVID-19

pandemic treatment

real-time data capture

RE-COV-Ry

UC Health Data Analytics

TERAVOLT Registry

medical surge capacity

data integration

AI algorithms