Heidi Health

Heidi Health is an AI-powered healthcare platform designed to help clinicians reduce administrative work and spend more time focusing on patient care. Its main product, Heidi, acts as an AI medical scribe and clinical assistant, capturing conversations during patient consultations and converting them into structured clinical notes. The platform has expanded beyond transcription into a broader AI Care Partner that supports documentation, medical research, dictation, patient communication, and administrative workflows.

Founded in Melbourne, Australia, in 2019, Heidi was developed in response to the growing documentation burden experienced by healthcare professionals. Its founders recognised that clinicians spend a significant amount of time completing medical records and other administrative tasks, sometimes at the expense of direct patient interaction. Heidi was created to help address this problem by automating repetitive documentation activities while keeping healthcare professionals responsible for clinical decisions and final approval.

One of its central features is Heidi Scribe, an ambient AI medical scribe that listens to clinician-patient conversations and generates structured medical notes. During an appointment, the platform captures speech in real time and converts the conversation into written documentation. It can identify multiple speakers, recognise medical terminology, and organise the information according to a selected template. The generated note is designed to reflect the clinician’s preferred documentation style rather than produce a generic transcript.

Heidi supports different clinical documentation formats, including structured notes commonly used in general practice and specialist care. Clinicians can select templates for different consultation types and adjust the structure, headings, and level of detail. The platform also provides a template community containing more than 1,000 clinician-designed templates, giving users options for different specialties and documentation requirements. Custom templates can be saved and reused across consultations, helping clinicians maintain consistency in their records.

The platform supports more than 110 languages for clinical transcription. Clinicians can select the language used during a consultation and choose the language in which notes and documents should be generated. Its multilingual capabilities are particularly useful in healthcare settings where patients and clinicians communicate in different languages. A beta multilingual mode can also detect language changes during a consultation. Actual language availability and performance may vary, so clinicians should verify important terminology and translations before finalising records.

Heidi also provides Session Dictation and Dictate tools for creating written material without relying on traditional typing. Session Dictation allows clinicians to speak while the platform converts their words into documents such as reports, referrals, and letters. The desktop Dictate feature uses a keyboard shortcut to insert spoken text into different fields and applications. This can be useful when completing forms, writing clinical correspondence, or adding information to existing records.

Another important capability is Ask Heidi, an AI assistant that helps users work with their clinical notes and documents. Clinicians can ask it to shorten a note, reorganise information, create a patient summary, prepare a referral letter, or generate other documents based on consultation information. It can also assist with tasks such as explaining medical terminology and finding relevant billing codes. Ask Heidi works with available patient context and documents, but its output should be checked before being used in clinical communication or records.

The Context feature allows clinicians to add information that may not have been spoken during the consultation. This can include relevant medical history, observations, previous reports, and other background details. Information can be added before, during, or after a session. When new context is added after a note has been generated, users can synchronise the changes so that the documentation reflects the additional information. This helps make the generated note more complete without requiring every detail to be spoken aloud during the appointment.

Heidi Evidence extends the platform beyond documentation by giving clinicians access to medical information supported by references. Users can ask clinical questions and receive answers grounded in medical guidelines, research papers, and other trusted sources. The platform provides citations so that users can inspect the underlying references rather than relying entirely on an AI-generated response. Depending on the subscription and region, Evidence can also provide live suggestions during consultations, support continuing professional development tracking, and allow users to work with preferred sources and personal evidence libraries.

The platform also includes coding and administrative support. Its coding capabilities can help clinicians identify relevant billing and diagnosis codes based on consultation information. Heidi can generate follow-up documents, referral letters, patient summaries, and other materials from existing notes. The wider AI Care Partner platform is designed to support additional tasks around a patient visit, including pre-charting, patient communications, care-gap identification, referral workflows, and administrative follow-ups. Availability of individual capabilities depends on the plan, region, and organisational deployment.

For clinicians who need to prepare before appointments, Heidi supports patient and session linking. This allows relevant information from previous consultations and available records to be associated with a current session. When connected to a compatible electronic health record system, Heidi can synchronise appointment information, retrieve patient context, and send completed notes back into the appropriate record. The exact functions available depend on the integration and subscription level.

Heidi offers two main integration approaches. Embedded integrations place the platform inside a supported electronic health record system through a widget or panel, allowing clinicians to work without constantly switching applications. Connected integrations provide a deeper link between Heidi and an EHR, enabling appointment schedules and patient information to synchronise with the platform and completed notes to be sent back to the medical record. These connections are designed to reduce duplicate data entry and make documentation more convenient for healthcare teams.

The platform supports a wide range of healthcare professionals and clinical environments. Its templates and workflows are relevant to general practitioners, physicians, surgeons, nurses, mental health professionals, allied health practitioners, veterinarians, and other specialists. It is also designed for hospitals, outpatient clinics, and practices that need consistent documentation across multiple clinicians. Heidi describes support for more than 200 specialties and subspecialties, allowing its documentation workflows to be adapted to different clinical settings.

Heidi is available through web and mobile applications, with desktop software for macOS and Windows. The desktop application extends dictation beyond the browser and can capture telehealth audio directly from supported calls. The company also offers Heidi Remote, a wearable microphone designed for clinical environments where recording through a computer or phone may be inconvenient. Its offline capabilities are intended to support clinicians working in settings with unreliable internet access, with information synchronised when connectivity returns.

Security and privacy are important considerations because the platform handles sensitive clinical information. Heidi states that it follows healthcare privacy and security requirements, including HIPAA, GDPR, and relevant regional frameworks. Its published security information includes standards and certifications such as ISO 27001 and SOC 2 Type II. The company also describes encryption and controls for handling patient data. Healthcare organisations should still review the applicable privacy terms, data residency arrangements, consent procedures, and contractual requirements before deploying the service.

Heidi is not designed to replace qualified healthcare professionals or make independent medical decisions. It assists with documentation, information retrieval, and administrative work, but clinicians remain responsible for checking generated notes, verifying clinical information, and approving records. This is especially important when working with medication details, diagnoses, treatment plans, and other information that could affect patient care.

Overall, Heidi Health is a comprehensive AI platform for clinical documentation and healthcare administration. Its combination of ambient transcription, structured note generation, multilingual support, clinical evidence, dictation, custom templates, and EHR connectivity makes it useful for individual clinicians and larger healthcare organisations. Its free access to core documentation features is a major advantage, while paid plans provide more advanced tools, integrations, and team-management capabilities.

Pricing

Heidi Health offers a free plan, paid individual subscriptions, practice plans, and enterprise arrangements. Pricing varies by region and billing currency.

• Free – $0: Unlimited transcription and note generation using standard templates, unlimited standalone Evidence queries with citations, basic task management, and 10 monthly paid actions shared across advanced templates, Ask Heidi, forms, and patient and session linking.
• Clinician – Paid subscription: Includes the Free plan features, unlimited advanced templates, custom documents, personalisation, Ask Heidi, patient-context-aware Evidence, live suggestions where available, and priority support. A 14-day free trial is offered in eligible regions.
• Practice – Paid subscription: Includes Clinician features, full Scribe functionality, team template sharing, document and session sharing, session status tracking, free assistant users, template configuration support, and full eligible EHR integration access. A 14-day free trial is available in eligible regions.
• Enterprise – Custom pricing: Designed for larger healthcare organisations, with enterprise governance, single sign-on, dedicated customer success, service availability commitments, multi-team management, and custom terms and hosting.

Review

Heidi Health is a useful platform for healthcare professionals who want to reduce the time spent writing clinical notes and completing administrative tasks. Its ambient AI scribe is the main attraction because it can capture consultations and produce structured documentation without requiring clinicians to type continuously throughout an appointment. This can help clinicians remain more engaged with patients while reducing the amount of work left after consultations.

One of its strongest advantages is the range of documentation tools available. Users can generate consultation notes, customise templates, prepare referral letters, create patient summaries, and use voice dictation in other applications. The Context feature also allows additional patient information to be incorporated into documentation, making the platform more flexible than a basic speech-to-text service.

Heidi Evidence adds value by giving clinicians access to reference-backed medical information. The ability to inspect citations is important because it allows users to check the material supporting an answer. Its multilingual transcription and support for more than 200 specialties and subspecialties also make the platform relevant to a wide range of healthcare environments.

Another advantage is its free plan. Users can access unlimited standard transcription and note generation without paying a subscription fee. Paid plans extend the platform with advanced templates, additional AI assistance, patient and session linking, and team features. The 14-day trials on eligible paid plans also give clinicians an opportunity to evaluate advanced functionality before subscribing.

EHR connectivity is particularly useful for practices that want to incorporate AI documentation into existing systems. Embedded and connected integrations can reduce the need to move information manually between applications. However, integration availability depends on the healthcare provider, subscription level, and implementation requirements. Organisations should confirm compatibility before choosing a plan.

There are also limitations to consider. AI-generated notes may contain omissions or inaccuracies, especially when conversations involve background noise, complex terminology, multiple speakers, or unclear speech. Clinicians must review and approve the generated documentation before it becomes part of the patient record. Clinical evidence and coding suggestions also require professional judgement rather than automatic acceptance.

Some advanced features are restricted by monthly action limits on the Free plan, while full team functionality and EHR integrations require higher subscription levels. Pricing varies by region, which can make direct cost comparisons difficult. Larger organisations may also need to go through a sales and implementation process.

Overall, Heidi Health is a strong choice for clinicians and healthcare organisations seeking AI-assisted documentation and administrative support. Its free core scribing features, multilingual capabilities, custom templates, clinical evidence tools, and EHR integrations make it a versatile healthcare platform. Its greatest value comes from reducing repetitive documentation while keeping clinical professionals in control of the final records.