With the ever-increasing focus on high value care, including value-based payment and quality incentives, aggregating patient health information into data that can be closely monitored and acted upon, as needed, is of critical importance.
This session will introduce data monitoring concepts and its importance. Participants will explore key aspects of data monitoring such as data validation, transparency, benchmarking, and the resources required. The session will share case studies and discuss best practices and lessons learned from organizations that are currently engaging in various types of data monitoring. Some case studies will feature organizations using population health management systems and other software solutions. Participants will also have the opportunity to discuss data monitoring topics, as desired.
This session is recommended for decision makers, administrators, data managers, and quality-related staff with a minimum of 15 attendees recommended. This session can range from a 1.5 to 3 hours, as desired.