Tags Machine Learning
My COVID Diary at Providence: Interactive Clinical Intelligence
Sara Vaezy, MHA, MPH, Chief Digital Strategy Officer; and Ari Robicsek, MD, Chief Medical Analytics Officer, Providence. MyCovidDiary is a clinical research project that uses technology to learn and document COVID-19 onset and disease progression. The goal is to collect and analyze first-person accounts of COVID-19 from thousands of individuals, with the hope of accelerating the medical identification, understanding...
Cedars-Sinai Uses Machine Learning to Continuously Forecast Demand, Supply, and Outcomes
Michael Thompson, MS, Executive Director of Enterprise Data Intelligence, Cedars-Sinai. Over the past three years, Cedars-Sinai has merged together its analytics capabilities across finance, clinical informatics, and IT to form an enterprise data intelligence function, encompassing an enterprise data warehouse, data science team, end-user content delivery, and an advisory team to teach others how to use the data. The...
OSF HealthCare’s COVID-19 Digital Response
Michelle Conger, MSW, Chief Strategy Officer, OSF HealthCare and CEO, Saint Gabriel Digital Health; Jennifer Junis, RN, MSN, SVP, OSF, Saint Gabriel Digital Health; Becky Buchen, SVP OSF Innovation; John Vozenilek, MD, FACEP, VP & Chief Medical Officer, OSF Innovation and Saint Gabriel Digital Health; and Melinda Cooling, DNP, MBA, APN, NEA-BC, VP Advanced Practice, Chief Clinician Executive, Saint...
Predictive Clinical Surveillance with AI
Jean-Claude Saghbini, Chief Technology Officer of Wolters Kluwer, Health. Real-time surveillance of rapidly deteriorating conditions is key to impacting quality and cost of care. In this session, Jean-Claude discusses how Machine Learning (ML) and Natural Language Processing (NLP) are coupled with clinical knowledge to enable predictive and prescriptive decision support at the point of care.