A modern, data-driven healthcare system depends on the ability to securely exchange accurate information across providers, health plans, pharmacies, laboratories, public health agencies, technology vendors, and patients. Despite significant investments in health information technology, healthcare data often remains fragmented across disparate systems, limiting care coordination, increasing administrative burden, and impeding innovation.
The emergence of artificial intelligence, advanced analytics, and digital health tools has made interoperability even more critical. Applications require access to high-quality, standardized, and trustworthy data from multiple sources to generate reliable insights and support clinical and operational decision-making. Without common standards and seamless data exchange, organizations risk creating isolated data silos, inconsistent results, and reduced confidence in data-driven technologies.
HDGC focuses on advancing interoperability, promoting consistent standards, and strengthening data integrity to support a connected healthcare ecosystem capable of delivering better outcomes, supporting care coordination, reducing administrative complexity, greater efficiency, and responsible innovation.
For decades, healthcare organizations adopted electronic health record (EHR) systems largely independently, resulting in a patchwork of technologies, proprietary data formats, and inconsistent approaches to information exchange. While digitization improved access to patient records within individual organizations, data often could not move easily across systems or care settings. Federal initiatives have accelerated EHR adoption and encouraged electronic data exchange.
However, despite this progress, significant challenges remain, including:
As healthcare becomes increasingly interconnected, ensuring data is both interoperable and trustworthy has become a strategic imperative.
Promote widespread implementation of nationally recognized standards to ensure health information can be consistently exchanged and understood across systems.
Interoperability is only valuable if exchanged data is accurate, complete, and reliable. HDGC supports the establishment of data quality measurement and reporting frameworks.
Data sharing must balance accessibility with privacy, security, and trust.
AI performance depends on interoperable, high-quality, and standardized data. HDGC supports the creation and maintenance of a data infrastructure that is prepared for the capacity and ability of AI technologies.
Administrative barriers can impede the efficient movement of information needed for patient care and innovation. Efforts to reduce these burdens and enable information exchange can enable the system to best deliver care.
