Upcoming Webinar

New Research: How to Identify High Risk COVID-19 Patients Upon Hospital Admission

INTRODUCTION

New research conducted at Yale New Haven Health (YNHHS), and LifeBridge Health’s Sinai Hospital of Baltimore, has found that the Rothman Index score, a measure of patient acuity, helps identify COVID-19 patients at high risk of mortality.

Hear from experts as they discuss a recent 1,669 COVID-19 patient study across four hospitals in Connecticut and Maryland. The results demonstrated that the Rothman Index (RI) score, which can be calculated upon patient admission using the patient’s current health characteristics, accurately groups the majority of COVID-19 patients into high-risk (43% mortality rate) and low-risk (less than 5% mortality rate) categories.

LEARNING OBJECTIVES

  • Review the research analysis summary from Yale New Haven Health and LifeBridge Health’s Sinai Hospital of Baltimore
  • Explain how the Rothman Index, a universal score of patient acuity, can create a common clinical language around COVID patient risk
  • Outline protocols and clinical workflow to risk stratify COVID-19 patients
  • How do YNHHS and LifeBridge plan to incorporate the Rothman Index into COVID-19 protocols

WEBINAR DETAILS

DATE: Wednesday, October 14th
Time: 1:00 – 1:45 PM ET
SPEAKERS:

  • Joseph Beals, PhD, MBA, Chief Analytics Officer, PeraHealth
  • Dr. Jaime Barnes, Chair of the Department of Medicine at LifeBridge Health Sinai Hospital and Northwest Hospital of Baltimore
  • Clinician, Yale New Haven Health
  • Jonathan Fullerton, Managing Director, Strategic Initiatives, PeraHealth

SUGGESTED ATTENDEES

Hospital executives, clinicians, and care managers who need to identify patients at risk of rapid decline, make decisions about transfer and discharge, predict the risk of severe infection, and improve the overall efficiency and quality of care.

The scientific article detailing the COVID patient analysis can be found in the following link: https://www.medrxiv.org/content/10.1101/2020.08.13.20171751v1