Dyad utilizes AI-powered knowledge graphs and graph machine learning to standardize and contextualize healthcare operations data in near real-time. This technology addresses administrative complexity and inefficient payer-provider workflows, which contribute to poor patient outcomes and significant financial waste in the healthcare system.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CVPAFounders
Product
Problem
Administrative complexity, failure of care coordination, and inefficient payer-provider workflows lead to poor patient outcomes and significant financial waste in the healthcare system. Siloed data and a lack of standardization hinder collaboration and visibility across different healthcare domains.
Solution
Dyad leverages AI-powered knowledge graphs and graph machine learning to standardize and contextualize healthcare operations data in near real-time. By integrating with common EHRs and data interoperability platforms, Dyad provides seamlessly integrated applications that address these issues while enhancing collaboration, visibility, and trust in data. This technology enables alignment around value-based care initiatives, driving evidence-based decisions, automating medical coding, and improving quality outcomes reporting. Dyad's platform facilitates a cross-domain suite of applications for health plans, primary care providers, and secondary care providers, optimizing risk adjustment, enhancing population health management, and linking clinical operations to planning, purchasing, and finance.
Target Audience
Dyad's primary customers include health plans seeking to reduce administrative costs and improve payment accuracy, as well as primary and secondary care providers aiming to enhance patient outcomes and optimize clinical operations.
Features
- AI-powered knowledge graph for standardizing and contextualizing healthcare data
- Graph machine learning algorithms for real-time data analysis and insights
- Integration with common EHRs and data interoperability platforms
- Applications for health plans to reduce administrative costs and increase payment accuracy
- Solutions for primary care providers to drive best patient outcomes with evidence-based decisions
- Tools for secondary care providers to enable outcome-oriented care by linking clinical operations to planning and finance
- Automated medical coding and quality outcomes reporting