Automated data exchange is critical to the successful coordination, delivery and payment of value-based healthcare. Interoperability remains a significant barrier to fully leveraging information technology to assist team-based care coordination across the continuum. Many providers are unable to seamlessly access or share patient health information electronically with other organizations. As a result, they are unable to efficiently identify patients in need of healthcare services or deliver services according to evidence-based guidelines in a timely manner. Not closing these gaps in care significantly affects the quality and cost of care by contributing to adverse patient outcomes and inappropriate care.
As delivery system transformation, consumerization and digitalization converge together, the healthcare industry is at the crossroads to address gaps in care as a national priority. With this in mind, the Louis W. Sullivan Institute for Healthcare Innovation conducted mixed-methods qualitative research to enable a better understanding of data exchange challenges and to identify effective strategies for workflow automation and optimization. This report provides an overview of current approaches, best practices, emerging opportunities and barriers to identifying, preventing and closing gaps in care through data exchange via health information technologies. Full Report