医疗保健分析峰会回来了!欢迎收看9月13-15日盐湖城直播。Register Now
Leah Evans
Analytics Director, Sr., Outsourcing Services
Leah Evans joined Health Catalyst in November 2016 as a Senior Data Architect and currently serves as an Analytics Director within the Outsourcing Services team. She has worked in the healthcare data space since 2005. Leah came to Health Catalyst from Perficient, where she worked as a Solutions Architect. Prior to Perficient, she spent nine years at SCP Health, working with the Business Intelligence team as the Data Architect and BI Manager. Leah holds a bachelor's degree in Computer Science from the University of Louisiana at Lafayette.
See content from Leah Evans
Better Clinical Decision Support for COVID-19: Identifying Patients at Highest-Risk
Estimates place the in-hospital mortality for patients with COVID-19 between 15 and 25 percent, making early identification of individuals at high risk an imperative. Clinicians need reliable tools to identify individuals at the highest risk of severe deterioration. Risk-scoring tools exist for common acute conditions (such as septic, hypovolemic, or cardiogenic shock), but these methods don’t focus on COVID-19’s primary clinical impact—respiratory function. As a result, patients experiencing severe symptoms of COVID-19 may appear stable according to vital signs, such as heart rate and blood pressure, when they’re in fact critically ill. A more evolved approach to COVID-19 risk scoring focuses hypoxemia, or a below-normal blood oxygen level.
This site uses cookies
We take pride in providing you with relevant, useful content. May we use cookies to track what you read? We take your privacy very seriously. Please see ourprivacy policyfor details and any questions.