Description
The healthcare industry is sitting on a wealth of clinical data that can potentially transform population health outcomes. Yet, few organizations are extracting the full value of their big data assets due to information gaps and poor data quality. In 2017, CORHIO, one of the largest HIE networks in the U.S., deployed an infrastructure that normalizes incoming information from disparate sources as an essential step to support advanced Quality Metric use cases and to lay the foundation for creating meaningful population level reporting. Currently, the organization is mapping roughly 80 percent of its general lab compendia to LOINC—the industry accepted standard—to establish a single source of truth for deeper analytics, expanded reporting and public health visualizations. This framework empowers CORHIO constituents with key insights to drive successful population health initiatives around high-profile disease states such as diabetes and congestive heart failure as well as other high-value health indicators.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.:
This session will benefit any healthcare, data or community organization that struggles with data access, sharing and leveraging of clean, accurate and complete information to advance analytics and health reform initiatives. Attendees will learn how CORHIO, one of the largest health information exchanges (HIEs) in the country, implemented the necessary technology infrastructure and data governance processes to overcome these challenges, improving data quality and reporting as well as supporting better public health visualizations to drive high-value population health initiatives. These insights will equip attendees with a best practice roadmap for designing and deploying an interoperability and data quality management framework and avoiding common pitfalls to sustainable success. Participants will learn through CORHIO’s experience the challenges of data normalization as well as a best-practice model for facilitating big data reporting to advance population health initiatives.
Authors:
Mark Carlson, CORHIO
Cheryl Mason (Presenter)
Wolters Kluwer
Presentation Materials: