Heidi Health
Heidi Health is an ambient AI clinical documentation and workflow platform built for healthcare professionals. It captures patient consultations in real time and converts conversations into structured medical records, including progress notes, referral letters, discharge summaries, care plans, and billing-ready documentation.
The system recognizes complex medical terminology, adapts to specialty-specific requirements, and supports standardized coding systems such as ICD-10 and SNOMED CT. Heidi distinguishes clinically relevant details from general dialogue and formats outputs for review and EHR integration.
Accessible via secure desktop and mobile applications, Heidi integrates with major electronic health record systems and supports multilingual consultations. With enterprise-grade security and compliance with global privacy standards, Heidi reduces administrative workload while improving documentation accuracy and clinical workflow efficiency.
Learn more
Qualified Health
Qualified Health is a healthcare-native enterprise AI platform designed to enable health systems to deploy, manage, and scale generative AI safely and effectively across clinical and operational workflows. It provides a unified operating layer that centralizes AI models, tools, and use cases into a single, governed system, eliminating fragmentation and enabling consistent deployment across organizations. It integrates clinical, operational, and financial data through a single connection, allowing multiple AI-powered applications to run on a shared, validated data foundation with built-in quality controls. It includes capabilities for creating and deploying healthcare-specific AI agents, automating administrative and regulatory workflows, and generating real-time insights that support clinicians and improve patient outcomes. A core focus is governance, offering enforceable safeguards such as role-based access, monitoring, evaluation frameworks, and more.
Learn more
Claude for Healthcare
Claude for Healthcare is a HIPAA-ready AI platform built on Anthropic’s advanced Claude models that helps healthcare organizations move faster without sacrificing safety, accuracy, or compliance by connecting to trusted medical, payer, and clinical data sources. It enables use cases such as prior authorization review, insurance claims appeals, clinical documentation generation, patient message triage, care coordination, and other administrative workflows by validating provider credentials, medical codes, coverage requirements, and drafting recommendations or summaries with traceable sources for verification. Claude can integrate with industry standards and databases, including CMS coverage policies, ICD-10 codes, provider registries, and PubMed, and supports secure connection to personal health records (e.g., lab results and medical histories) with user consent so patients or clinicians can get plain-language summaries and insights.
Learn more
Medical LLM
John Snow Labs' Medical LLM is an advanced, domain-specific large language model (LLM) designed to revolutionize the way healthcare organizations harness the power of artificial intelligence. This innovative platform is tailored specifically for the healthcare industry, combining cutting-edge natural language processing (NLP) capabilities with a deep understanding of medical terminology, clinical workflows, and regulatory requirements. The result is a powerful tool that enables healthcare providers, researchers, and administrators to unlock new insights, improve patient outcomes, and drive operational efficiency. At the heart of the Healthcare LLM is its comprehensive training on vast amounts of healthcare data, including clinical notes, research papers, and regulatory documents. This specialized training allows the model to accurately interpret and generate medical text, making it an invaluable asset for tasks such as clinical documentation, automated coding, and medical research.
Learn more