We deliver AI-powered quality measurement and data validation using the commodity data platforms and skills your team already knows. Our accelerator-driven solutions turn interoperability challenges into competitive advantages by seamlessly connecting transactional data (FHIR, CCDA, ADT, text) to the analytical world. With precise, AI-driven semantic mapping, we help you unlock faster, smarter, and scalable insights.
Healthcare standards shouldn’t force you to choose between innovation and compliance. The implementation burden to remain complaint stems from misalignment between one-size-fits-all policies and economic realities faced by healthcare organizations.
The solution? A smarter strategy that combines decoupling, commoditization, alignment, and seamless interoperability—powered by AI and continuous learning ensuring economical viability and clinical accuracy.
Healthcare organizations aren’t meant to be carbon copies of each other. Interoperability standards are essential but shouldn’t come at the cost of your competitive edge for how you serve your population, deliver care, and drive innovation.
Healthcare standards weren’t designed for the modern data platforms most organizations rely on. This mismatch creates costly, inefficient implementation and maintenance challenges. The solution isn’t to add yet another disconnected system, but to apply standards intelligently to seamlessly work within existing workflows.
AI excels at probabilistic pattern recognition but is limited by the accuracy of its training data and available context. Combining AI automation with human expertise enables systems to continuously learn, adapt, and improve over time while ensuring clinical accuracy.
AI-powered solutions that transform complex healthcare data challenges into streamlined, automated workflows.
AI-powered translation tools convert your CQL-based eCQMs and dQMs into the native language of your data platform of choice. AI-driven mapping adapts to your system and continuously validates results to ensure rapid deployment and lasting accuracy.
Ensure the accuracy and trust of your healthcare data by combining AI-powered anomaly detection, standardized rules, and integrated monitoring to ensure cost effective, scalable quality operations. Models come pre-trained on common issues & formats (FHIR, CCDA, CSV, and ADT) but are easily fine-tuned to your unique use case.
We bring a big data approach to healthcare interoperability, designing and delivering modern lakehouse architectures that support FHIR R5, streaming ADT and CCDA integration, HIEs, TEFCA, state registries, and more. Our experts aren’t just integrators—they’re healthcare domain specialists. We manage the full data lifecycle turning data complexity into actionable insights and regulatory readiness.
We offer strategic advisement, architecture design, and rapid prototyping to help you navigate healthcare’s evolving data and interoperability landscape. Our consultants partner with your team to design and implement solutions that scale with your organization’s growth.
Stay informed about the latest developments in healthcare data standards and our innovations.
CMS reports on comprehensive stakeholder engagement project addressing eCQM implementation burdens. The initiative resulted in 117 recommendations across six themes: alignment, value, development processes, implementation, EHR certification, and communication to reduce reporting burden while maintaining quality measurement value.
Read moreThe Trusted Exchange Framework and Common Agreement continues making progress since going live in 2023, with Qualified Health Information Networks including Epic, CommonWell Health Alliance, and Health Gorilla now operational. While full interoperability remains a goal, TEFCA has successfully reduced friction between fragmented state exchanges and is moving toward FHIR standards adoption to enable broader technical consolidation.
Read MoreHL7 announces a global innovation competition inviting technologists, researchers, and clinicians worldwide to demonstrate how HL7 standards and AI can revolutionize healthcare. Winners will be recognized at HL7's 39th Annual Plenary in Pittsburgh, September 2025. Submissions due July 30, 2025.
Read MoreTransform your healthcare data challenges into competitive advantages. Let's discuss how our AI-powered accelerators can modernize your infrastructure and streamline your operations.