Heidi AI for Doctors: Features, Privacy, Pricing & How It Works in 2026

Heidi AI for doctors is an AI-powered clinical documentation tool designed to help clinicians reduce the time they spend writing notes after patient consultations.

Heidi can transcribe a consultation, generate clinical notes using a chosen template, help edit those notes with AI, and create related documents such as referral letters and patient summaries. Heidi also includes a clinical reference feature called Evidence, which provides citation-backed answers from healthcare sources.

The appeal is obvious: doctors spend a large part of their working day documenting care, and any tool that reduces repetitive admin can potentially free more time for patients.

But healthcare AI should never be treated like a casual writing assistant.

Clinical notes affect continuity of care, communication, coding, medicolegal records, and patient safety. So the important question is not simply whether Heidi can generate notes quickly.

The real question is whether it fits safely into a clinician’s workflow.

This guide explains what Heidi AI does for doctors, how its main features work, how privacy and consent are handled, what the free and paid plans include, and what clinicians should check before relying on AI-generated documentation.

What Is Heidi AI for Doctors?

Heidi is an AI medical scribe built for clinicians.

According to Heidi’s official documentation, it works by transcribing a consultation and generating notes based on a template selected by the clinician. It can also produce other documents from the consultation context, including referral letters and summaries.

In practical terms, Heidi is intended to reduce manual documentation work.

A doctor can use it during a consultation, then review and edit the resulting note before placing it into the relevant medical record system.

Heidi should therefore be thought of as a documentation assistant, not an autonomous clinician.

The treating doctor remains responsible for the final record and clinical decisions.

How Heidi AI Works During a Consultation

The workflow is relatively simple.

1. Start a Session

The clinician starts a session in Heidi before or during a patient consultation.

Heidi transcribes the conversation in real time and uses that information to create a clinical note.

The platform supports standard templates and, depending on the plan, more advanced custom templates.

2. Generate the Clinical Note

After the consultation, Heidi creates a note based on the selected format.

The exact structure can depend on the template.

For example, a clinician may want the output organized as:

• history
• symptoms
• examination
• assessment
• plan
• follow-up

Different specialties may require different structures.

That is where custom templates become useful.

3. Review the Note

This is the most important step.

The clinician should review the note for:

• factual accuracy
• incorrect terminology
• missing information
• unsupported statements
• medication details
• diagnosis wording
• names and dates
• follow-up instructions

AI-generated documentation should not automatically become part of the patient’s permanent record without human review.

4. Edit With Ask Heidi

Heidi includes a feature called Ask Heidi.

It can be used to restructure notes, create summaries, generate documents, or make other edits from the session context.

For example, a doctor could ask it to:

• shorten a note
• create a handover summary
• draft a referral letter
• adjust the note structure
• clarify terminology

Free-plan use is limited, while paid Clinician and Practice plans provide broader access.

What Features Does Heidi Offer Doctors?

Heidi currently combines documentation tools with clinical information support.

AI Medical Scribe

The core feature is the medical scribe.

It listens to a consultation and produces a structured note.

This can reduce the amount of manual typing required after a visit.

The value is strongest when the clinician uses the generated note as a draft and verifies it before saving.

Unlimited Standard Note Generation on the Free Plan

One of Heidi’s more unusual features is that its free plan currently includes unlimited transcription and standard-template note generation.

Advanced features have limits, but standard documentation remains available.

This makes the free plan more practical than many limited trial products.

Custom Templates

Paid plans support unlimited advanced templates.

Custom templates let clinicians adapt how notes are structured.

This may be useful for:

• general practice
• psychiatry
• physiotherapy
• specialist clinics
• allied health
• procedure notes
• referral workflows

A good template can reduce the editing required after each session.

Ask Heidi

Ask Heidi works as an AI assistant inside the platform.

It can help edit documentation or create additional outputs from a consultation.

Heidi’s current documentation lists examples such as referral letters, handover summaries, note restructuring, and other session-related tasks.

Heidi Evidence

Heidi Evidence is a separate but integrated clinical reference feature.

According to Heidi, it provides citation-backed answers using healthcare sources such as guidelines, medicine references, and primary research.

Each major statement is accompanied by citations that clinicians can open and review.

That is an important distinction from a generic AI chatbot.

A citation-backed answer gives the clinician a path to check the original source.

However, a citation does not automatically make an answer correct.

Doctors should still review the underlying evidence before using it to inform patient care.

In-Session Evidence

Some paid plans include Evidence during patient visits.

This can provide live suggestions or patient-context-aware answers while a consultation is underway.

Availability varies by region.

Heidi’s documentation notes that in-session Evidence has restrictions in the UK and EU, where Evidence may be available only outside the consultation session.

Regional limitations should therefore be checked before choosing a plan.

EHR Integrations

Heidi offers electronic health record integrations on some plans.

The Clinician plan may include limited integration access depending on the EHR partner.

The Practice plan includes broader integration access for teams.

Doctors should verify that their specific EHR or practice management system is supported.

Heidi AI Pricing for Doctors in 2026

Heidi currently offers several plan levels.

The exact currency and price can vary by location, so clinicians should check the current pricing page before subscribing.

The main plan structure currently includes:

Plan	Best For	Main Features
Free	Individual clinicians testing Heidi	Unlimited standard notes, Evidence, limited advanced actions
Clinician	Individual doctors using advanced features regularly	Unlimited advanced templates, Ask Heidi, advanced Evidence features
Practice	Clinics and teams	Team tools, integrations, sharing, advanced Evidence
Enterprise	Large healthcare organizations	Governance, SSO, custom terms, enterprise support

Heidi also has legacy plans such as Scribe Plus and Scribe Team in some regions. Its plan names changed in February 2026, so older reviews may use different terminology.

What Does the Free Plan Include?

The current Free plan includes:

• unlimited transcription
• unlimited notes using standard templates
• unlimited Evidence queries outside sessions
• task management
• limited personalization
• 10 advanced actions per month

Those 10 actions are shared across features such as:

• advanced templates
• Ask Heidi
• form filling
• patient and session linking
• some advanced in-session actions

If those actions run out, standard note generation can still continue.

For a doctor testing an AI scribe for the first time, this is enough to assess the basic workflow.

What Does the Clinician Plan Add?

The Clinician plan is aimed at individual doctors who need more than standard notes.

It currently adds:

• unlimited advanced templates
• unlimited custom documents
• unlimited Ask Heidi
• advanced personalization
• source control for Evidence
• patient-context-aware answers
• in-session Evidence where available
• some EHR integration access
• priority support

This makes the Clinician plan more appropriate for doctors who intend to use Heidi throughout a normal working week rather than occasionally.

What Does the Practice Plan Add?

The Practice plan is designed for clinics and teams.

It adds team-oriented features such as:

• team template sharing
• session and document sharing
• session status tracking
• free assistant users
• template configuration support
• full EHR integration access
• team Evidence controls

That can matter when a clinic wants standardized documentation rather than each clinician using their own workflow.

Is Heidi AI Safe for Doctors to Use?

This is one of the most important questions.

Heidi states that data on the platform is encrypted in transit and at rest, and that consultation data, transcripts, and generated notes are not used to train its AI model.

The company also says access to customer data requires permission and is logged and audited.

Heidi reports certifications and audits including:

• ISO 27001
• ISO 42001
• SOC 2

It also states that it uses regional data hosting and complies with various healthcare and privacy frameworks depending on the jurisdiction.

Still, doctors should not rely on a marketing page alone.

Before using any AI tool with patient information, a clinic should check:

• local privacy law
• hospital or clinic policy
• data processing agreements
• storage region
• retention settings
• EHR integration security
• consent requirements
• organizational approval

Does Heidi Store Consultation Audio?

Heidi says that for real-time transcription, audio is not stored.

Its documentation states that sessions are transcribed in real time and the audio itself is not retained.

Uploaded recordings can be handled differently, depending on the user’s choices and consent.

This distinction matters for privacy reviews.

Clinicians should understand exactly which type of session they are using and what their local retention settings are.

Does Heidi Use Patient Data to Train AI?

Heidi says it does not use consultation data, session transcripts, or generated clinical notes to train its AI model.

It also says it does not sell patient or clinician data.

These are claims from Heidi’s own documentation.

Organizations considering large-scale deployment should still review the current privacy policy and contractual terms rather than relying solely on summary statements.

Do Doctors Need Patient Consent?

Heidi recommends that clinicians seek patient consent.

However, the legal requirement depends on jurisdiction and clinic policy.

Heidi itself states that consent rules vary and that clinicians remain responsible for following local requirements and their organization’s policies.

A simple workflow could be:

1. Explain that an AI scribe is being used.
2. Explain what it does.
3. Explain how information is handled.
4. Follow the clinic’s approved consent procedure.
5. Document consent where required.

Doctors should not assume the same consent process applies in every country.

Benefits of Heidi AI for Doctors

The strongest potential benefit is administrative efficiency.

Less Manual Documentation

If a consultation is accurately transcribed and structured into a usable note, the doctor may spend less time typing after the patient leaves.

More Attention During the Consultation

Reducing manual note-taking may allow clinicians to maintain better eye contact and focus on the conversation.

That benefit depends on how much editing is still required afterward.

Faster Referral and Summary Creation

Ask Heidi can turn session context into referral letters or summaries.

This can reduce repetitive writing.

Custom Templates

Doctors can structure documentation around their specialty or personal note style.

This is more useful than a generic one-size-fits-all format.

Citation-Backed Clinical Reference

Heidi Evidence provides citations for clinical answers.

That gives clinicians a clear path to inspect the underlying sources instead of receiving an unsupported answer.

Limitations of Heidi AI for Doctors

Doctors should also understand what Heidi cannot safely replace.

AI Notes Can Contain Errors

No AI scribe should be assumed to produce a perfect note.

Possible errors include:

• misunderstood terms
• incorrect medication names
• missed details
• wrong attribution
• incorrect dates
• overconfident summaries

Every final note still needs clinical review.

The Doctor Remains Responsible

Using an AI tool does not transfer responsibility for the clinical record.

The clinician must decide whether the final note accurately reflects the consultation.

Clinical Evidence Still Needs Judgment

Even with citations, an AI answer may not fit the patient’s full context.

Doctors must consider:

• comorbidities
• contraindications
• local guidelines
• specialist advice
• patient preferences
• latest evidence

Evidence tools should support clinical reasoning, not replace it.

Regional Features Vary

Some Evidence and integration features differ between countries.

A review written for one market may therefore not match what another doctor sees in their account.

Heidi AI for Doctors vs Manual Note-Taking

Manual documentation gives the clinician complete control from the first sentence.

The downside is time.

An AI scribe reverses that trade-off.

It creates the first draft quickly, but the doctor then needs to verify the output.

A practical comparison looks like this:

Manual Notes	Heidi AI
Written directly by clinician	AI creates first draft
Slower	Potentially faster
Full control from start	Requires review and editing
No AI transcription errors	Possible transcription or summary errors
More typing	Less manual typing
No AI privacy layer	Requires privacy and compliance review

The right choice depends on how much time the tool saves after editing, not just how quickly the first draft appears.

Who Is Heidi AI Best For?

Heidi may be useful for doctors who:

• spend significant time writing notes
• see many patients each day
• want customizable templates
• frequently create referral letters
• work in clinics with supported EHR systems
• want citation-backed clinical reference tools
• are comfortable reviewing AI-generated text carefully

It may be less useful when:

• the clinic does not permit AI transcription
• local policy prevents its use
• the doctor prefers fully manual notes
• the workflow requires unsupported integrations
• documentation is highly specialized
• the doctor is unwilling to review every generated note

A Practical Checklist Before Using Heidi AI

Before using Heidi in routine clinical care, check these items.

Confirm Your Organization Allows It

Do not assume a personal account is enough.

Hospitals, clinics, and health networks may have separate approval requirements.

Review Privacy and Data Location

Check where your data is hosted and whether the arrangement fits local law and institutional policy.

Decide How Patient Consent Will Work

Use a consistent process approved by your organization.

Test Note Accuracy

Run Heidi in a controlled setting and compare the output with what you would normally document.

Look for recurring mistakes.

Build the Right Template

A well-designed template can save much more time than repeatedly fixing a generic note.

Review Every Final Note

Do not copy an AI-generated note into the patient record without checking it.

This remains the most important safeguard.

Is Heidi AI for Doctors Worth It?

For doctors who spend a large amount of time documenting consultations, Heidi can be useful as a workflow tool.

Its main strength is that it does more than simple transcription.

It combines:

• AI note generation
• custom templates
• note editing
• document generation
• clinical Evidence
• integrations
• team workflows

The free plan makes it possible to test the core scribe function before committing to a paid plan.

The main limitation is the same one that applies to every clinical AI tool:

the output still needs professional judgment.

If Heidi saves time after review, fits your clinic’s privacy requirements, and integrates cleanly with your existing documentation process, it can be a practical tool.

If it creates more checking work than it saves, then the automation is not actually helping.

A machine that creates admin so you can reduce admin would be impressively on-brand for modern software, but thankfully that can be tested before adopting it widely.

Frequently Asked Questions About Heidi AI for Doctors

What is Heidi AI used for by doctors?

Heidi is primarily used as an AI medical scribe. It transcribes consultations, creates clinical notes, helps edit documentation, and can generate related documents such as referral letters and patient summaries.

Is Heidi AI free for doctors?

Yes. Heidi currently offers a free plan with unlimited transcription and standard-template notes, plus limited access to advanced actions.

Does Heidi record patient consultations?

For real-time sessions, Heidi says consultation audio is not stored. Uploaded recordings may be handled differently depending on user settings and consent.

Does Heidi use patient data to train its AI?

Heidi states that consultation data, session transcripts, and generated notes are not used to train its AI models.

Is Heidi HIPAA compliant?

Heidi states that it supports jurisdiction-specific healthcare privacy requirements, including HIPAA in applicable regions. Organizations should still review the current compliance documentation and their own contractual requirements.

Can Heidi integrate with EHR systems?

Yes, some plans support EHR integrations. Availability depends on the plan, region, and EHR partner.

Does Heidi replace clinical judgment?

No. Heidi can assist with documentation and clinical information retrieval, but diagnosis, treatment, documentation approval, and patient-care decisions remain the responsibility of qualified clinicians.

Conclusion

Heidi AI for doctors is best understood as a clinical documentation assistant rather than an autonomous medical system.

It can transcribe consultations, draft notes, create documents, support custom templates, and provide citation-backed clinical information through Heidi Evidence.

Its free plan makes the core scribe accessible, while Clinician and Practice plans add more advanced workflows, integrations, and team features.

The potential benefit is straightforward: less time spent on repetitive documentation.

The main safeguard is equally straightforward: every generated note and clinical output still needs professional review.

Doctors considering Heidi should evaluate it on three things:

accuracy, workflow fit, and compliance.

If all three are acceptable, the tool can be a useful way to reduce documentation burden without handing over responsibility for the clinical record.

Sources Consulted

• Heidi official overview and product documentation.
• Heidi pricing and plan documentation.
• Heidi data security and privacy documentation.
• Heidi consent guidance.
• Heidi Privacy Policy, updated April 30, 2026.
• Heidi plan changes documentation, updated July 2026.

Editorial Transparency Note

This article is based on current Heidi Health documentation and public product information available in September 2026. Pricing, plan names, Evidence availability, integrations, and regional features can change and should be rechecked before future updates.

No hands-on clinical testing is claimed.

Because this article concerns healthcare technology, clinicians should verify privacy, consent, compliance, EHR compatibility, and institutional approval before using Heidi with real patient data. This article is informational and is not medical, legal, privacy, or compliance advice.

For medical and clinical content, expert review by a qualified healthcare professional would strengthen the article before publication