Adentris

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.

GenHealth.ai is a healthcare-focused generative AI platform built on a proprietary Large Medical Model (LMM) trained using data from over 100 million patient histories rather than natural language. The LMM processes medical codes and events to predict future patient trajectories, forecast costs, and simulate clinical pathways with higher accuracy and fewer hallucinations than traditional large language models. It supports a suite of purpose-built applications, including Intake Automation (PDF routing, data extraction, medical necessity), Prior Authorization Agent for automated adjudication, and G‑Mode analytics, which enables users to “chat” with historical and projected population‐health data via natural language, all without coding. This AI‑powered co‑pilot has shown 94 % accuracy in prior‑auth cases, a 120× improvement in medical loss ratio forecasting, and 110 % better cost prediction versus standard HCC scoring.