Meet regulatory and quality requirements using existing systems, minimal lift.
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. 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 MoreLet's discuss how our AI-powered accelerators can modernize your infrastructure and streamline your operations.