AI is reshaping healthcare, but few solutions are built for the clinician’s reality. Heidi is. Designed by and for clinicians, Heidi uses ambient AI to listen, understand, and structure medical conversations into complete documentation. It helps reduce the burden of administrative work without compromising accuracy or human connection.
Here are five ways Heidi is setting a new standard for AI in healthcare:
1. Ends Manual Documentation with Ambient AI
Heidi captures the consultation as it happens. Using advanced speech recognition and medical language models, it listens securely in real time, transcribes the interaction, and structures it into clear, accurate clinical notes.
What makes Heidi different is that it understands context. As a clinician speaks, Heidi recognizes the structure of a consultation, from presenting complaint to plan, and maps this automatically into the correct format. Whether SOAP, DART, or a specialty-specific structure, the note is ready before the clinician finishes the session.
The result: documentation time cut by up to 80 percent, reduced after-hours work, and restored focus on patient interaction instead of paperwork.
2. Transforms Note-Taking into Structured, Reliable Records
Every clinical note is a data point that shapes care continuity, audit readiness, and coding accuracy. Heidi ensures every detail is complete, compliant, and structured for use across systems.
Heidi’s custom templates adapt to each specialty (whether cardiology, pediatrics, psychiatry, or general practice) maintaining consistency across large teams and multi-site networks. It also integrates with EHRs, enabling automatic population of coded data such as ICD-10 or SNOMED CT, referrals, and medication lists.
Clinicians remain in control: they can edit, refine, or regenerate any section, ensuring that notes match both their clinical voice and compliance requirements. With Heidi, documentation becomes a clinical asset rather than an administrative task.
3. Reduces Administrative Bottlenecks and Returns Time to Care
Behind every clinician’s day lies a layer of invisible admin, such as referrals, follow-ups, billing codes, discharge notes, and summaries. Heidi automates these tasks through context-aware features that recognize action items during the consultation and generate them automatically.
A follow-up? Heidi detects it and adds it to the task list. A referral mentioned mid-consult? Heidi drafts it instantly in the clinician’s preferred tone and format. Need accurate billing codes? Heidi applies them directly from the findings.
These automations remove the bottlenecks that slow clinics and health systems down. For clinicians, it means less time typing and checking forms, and more time focusing on the patient in front of them. For organizations, it means increased throughput, fewer delays, and measurable cost savings.
4. Supports Multilingual and Multi-Specialty Practice at Scale
Healthcare is diverse, and so are the clinicians who deliver it. Heidi is designed to adapt across more than 200 specialties and over 110 languages. Whether used in a rural general practice in Australia or a tertiary hospital in the UK, Heidi recognizes clinical language, terminology, and structure without losing accuracy.
Its ambient AI understands the nuances of specialty-specific conversations, from psychiatry to orthopedics. It can generate documentation, patient instructions, or medical certificates in the clinician’s language, then translate them automatically for patients or referring doctors.
This flexibility makes Heidi scalable across global health systems and inclusive for teams serving multilingual, multicultural patient populations. It’s built for the complexity of real clinical environments, not idealized workflows.
5. Built on Clinician-Led Design with Transparent, Ethical AI
At its core, Heidi reflects a commitment to ethical, clinician-led technology. Its development involves doctors, nurses, and healthcare specialists at every stage, ensuring that the platform fits seamlessly into clinical workflows rather than forcing clinicians to adapt to it.
Heidi prioritizes transparency and data security. It meets the world’s strictest compliance standards, including HIPAA, GDPR, NHS Digital, and ISO27001, with all data stored locally and no audio retained. Again, clinicians remain in complete control of what is captured, structured, and shared.
Beyond compliance, Heidi’s explainable AI models ensure that outputs are traceable and auditable, maintaining trust in the documentation process. The goal is to extend clinician capacity safely, ethically, and responsibly.
Heidi: Redefining What It Means to Care
Heidi is transforming healthcare documentation from an administrative burden into an intelligent, clinician-led workflow. It listens, understands, and acts which brings efficiency, structure, and clarity to every consultation.
By uniting ambient AI with human expertise, Heidi gives clinicians back what matters most: time, accuracy, and presence in care.
