Registration fees:     $225 per facility   |   Non-Members Registration Fee:  $350 per facility

RECOMMENDED AUDIENCE:

C-Suite, Marketing and Communications leaders, Service line health care leaders.

OVERVIEW:

With the rise of consumerism and increased competition, health care providers must continuously innovate and adapt their patient engagement strategies to differentiate their brand and foster meaningful connections with their patients. This session will discuss how artificial intelligence and machine learning can be applied to electronic medical record data to identify and engage the highest risk and highest need patients.

LEARNING OBJECTIVES:

At the conclusion of this session, participants should be able to:

• Describe how to increase patient activation and drive higher conversion rates.
• Discuss how to leverage patient data to proactively identify, prioritize, and engage high-risk patients.
• Identify how to easily employ artificial intelligence and machine learning into engagement strategies.
• Identify how to increase brand awareness in a competitive market by delivering patient-centered value.

SPEAKERS:

Scott Orstad is the vice president of marketing at Catholic Health, a six-hospital health care system based on Long Island, New York. He leads the brand and digital marketing teams responsible for omnichannel advertising, customer relationship management direct-to-consumer marketing, digital and web, social media, reputation management, call center and video content production.

Mia Wohl is a senior client success manager and marketing strategist for Actium Health, a patient activation and engagement solutions company that provides real-time data analysis and outreach to at-risk patients. Wohl works with clients to create targeted marketing strategies and track results and downstream outcomes.