Ambient Listing for medical notes

Ambient Listing is specifically designed and adapted for the eating disorder use case. It is voice recognition technology that uses Generative AI to listen to, interpret and analyze conversations between patients and providers. It can be used for one-on-one and group therapy sessions. Ambient Listing allows therapists to focus on engagement rather than note-taking, improving patient outcomes.

Key Features & Capabilities: Automated Clinical Notes: Effortlessly transcribe and structure voice-based interactions, whether in group therapy, one-on-one patient intakes, provider-to-provider consultations, or medical conferences.

AI-Powered Summarization: Generate concise, intelligent summaries, ensuring essential information is captured without manual effort.

Electronic Health Record (EHR) Integration: ALD syncs with leading EHR platforms, enhancing workflow efficiency by seamlessly integrating documentation into patient records.

Smart App & Mobile Connectivity: Extend functionality with integrations across various health applications, including food nutrition tracking, MRI viewing, and mental wellness tools—creating a holistic ecosystem for healthcare.

​ Unique Selling Proposition: Group Session Ambient Listing (AL): Traditional group therapy documentation is time-consuming and often lacks precision. AL intelligently listens, transcribes, and summarizes multiple voices in real time—capturing key themes and patient dynamics to generate comprehensive session notes without manual input.

Mental Care Decision Support: Using generative AI fine-tuned for mental health, AL analyzes conversations and if connected with EHR history, identifies patterns, and suggests diagnostic insights based on evidence-based criteria—helping providers make more informed clinical decisions with enhanced data-driven support.

By reducing documentation burden and enhancing clinical accuracy, AL empowers professionals to focus on the human connection and personalized patient care, transforming mental healthcare into a smarter, more connected experience.

Integrates with HL7 standards for interoperability with EHR systems.

Healthcare providers who want to spend time on their patient rather than administration.

​The licensing model is subscription based on usage per organization. ALD goal is to be compliant with GDPR and AI Act