Originally Aired - Wednesday, March 13 • 8:30 AM - 9:30 AM Eastern Time (US & Canada)
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Location: W207C
Type: General Education
Session ID: 83
Title: Taking a Next-Level Approach to Automated Care: Lessons From Leaders
Description: Automated care’s greatest potential to transform care delivery and health outcomes is in the space between visits, especially when as much as 80 percent of patients’ health is influenced by things that happen outside the medical setting. So how can health systems determine the right opportunities for applying automated care approaches to the populations they care for—and how can they roll out initiatives at scale? In this presentation, two leaders in leveraging automated care—at Northwell Health and El Camino Health—share processes for identifying the right targets for automated care, outcomes achieved and lessons learned that will help other organizations shape their approach. This presentation will be led by Kathleen Mazza, PhD, RN, MBA, senior advisor, population health informatics, Northwell Health; Zenobia Brown, MD, MPH, senior vice president and associate chief medical officer, Northwell Health; and Deb Muro, chief information officer, El Camino Health. Examples of results achieved through a next-level automated care approach include a 32 percent decrease in readmissions, a 48 percent reduction in colonoscopy no-shows, and the ability to close gaps in care among 69 percent of automated chat participants at Northwell Health, as well as faster behavioral response and stroke response times in El Camino Health’s emergency department.
Endorsed By: HIMSS CXO Experience
Level: Intermediate
Format: 60-Minute Lecture
Learning Objective #1: Describe what a next-level approach to automated care looks like in healthcare organizations that are proficient in their use of this technology to improve health outcomes
Learning Objective #2: Discuss the steps involved in targeting the right populations for automated care intervention, including what to consider in using data to determine where to focus
Learning Objective #3: Assess the ability of two health systems to roll out automated care initiatives across specialties and at scale
Learning Objective #4: Distinguish key actions for success in developing a transformative approach to the use of automated care to improve population health
Learning Objective #5: Identify operational barriers to success, including challenges in integrating disparate systems across facilities, and ways to overcome them
