Heidi Health

by Heidi Health  · Based in Australia → — AI Care Partner, with a mission to double the world's healthcare capacity by supporting every stage of care delivery.
Family Medicine Hospital Medicine Internal Medicine
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Free, clinician, practice, enterprise

Overview

Heidi Health is an AI-powered clinical documentation platform that leverages ambient listening to capture patient encounters in real-time and generate structured clinical notes. Initially built for the Australian healthcare market, it has expanded globally to serve clinicians in the United States and United Kingdom, supporting over 110 languages across 116 countries. Beyond ambient scribing, Heidi Health has evolved into a comprehensive clinical AI platform, incorporating features like Heidi Evidence for clinical decision support with citation-backed information, Heidi Comms for AI-powered patient communications (calls, bookings, reminders, follow-ups), EHR push-to-chart integrations (athenahealth, Epic, eClinicalWorks), and AI-assisted coding. The platform aims to reduce administrative burden, improve documentation accuracy, enhance clinical decision-making, and allow clinicians to focus more on patient care. It supports various clinical settings, from solo practices to large hospital networks, and offers a wearable microphone (Heidi Remote) for offline, on-device encryption documentation.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Ambient Encounter Capture (110+ languages)
  • Structured Clinical Notes Generation
  • Heidi Evidence (Clinical Decision Support with citations)
  • Heidi Comms (AI-powered Patient Communications)
  • EHR Push-to-Chart Integrations (athenahealth, Epic, eClinicalWorks)
  • AI-assisted Coding
  • Customizable Note Structures
  • Task Management
  • AI-assisted Billing Guidance and Payer Intelligence
  • Heidi Remote (wearable mic for offline documentation)

Use Cases

  • Reduce clinician documentation burden
  • Improve accuracy and efficiency of medical records
  • Enhance clinical decision making with evidence-based support
  • Streamline patient communications and follow-ups
  • Support multilingual patient populations
  • Reduce clinician burnout and increase patient-facing time

What Physicians Need to Know

Evidence Base (guidelines, literature scope)
Heidi Evidence provides citation-backed clinical information drawn from journals, regional guidance, and specialty standards. It includes sources like NICE, BMJ Group, HealthPathways, MIMS, The New England Journal of Medicine, Wiley, and Cochrane. Every claim is accompanied by transparent citations with direct source attribution, allowing clinicians to verify the origin of a recommendation, explore primary sources, and check guideline alignment. The platform also features "Journals," which offers agentic search across full-text peer-reviewed research with inline citations.
Clinical Validation Studies
Heidi Health treats clinical AI evaluation as a regulated science, with every version undergoing rigorous testing for safety and performance before release. They use a "clinicians in the loop" evaluation process, scale clinical validation using synthetic data generation and LLM-as-judge approaches, and integrate clinical ambassadors in each region to validate medical accuracy and local practice patterns. Heidi has processed over 100 million clinical interactions. The platform has been adopted by over 60% of NHS GPs in the UK. Heidi has supported over 175 million visits and 67 million clinical hours globally.
Alert Fatigue Management
Heidi Health aims to move from alert fatigue (which can have a 90% override rate) to contextual, patient-specific clinical decision support.
Override Rate Data
Heidi Health acknowledges the issue of high override rates in clinical decision support systems, with some reaching 90%. The platform is designed to provide contextual and patient-specific support to mitigate this.
Drug Interaction Checking
Heidi's Evidence feature provides citation-backed clinical answers, including information from sources like VIDAL, which is relevant for drug information. While it addresses the risk of AI hallucinations in drug interaction scenarios, it emphasizes that clinicians must verify information.
Differential Diagnosis Support
Heidi Evidence offers support for differential diagnoses. It allows clinicians to refine questions over multiple turns with preserved context and adjust the depth of responses from concise summaries to detailed reviews. For Clinician-tier users, answers can be tailored using patient context such as age, medications, and conditions.
Guideline Update Frequency
Heidi's Evidence feature draws from continuously updated sources like journals, regional guidance, and specialty standards, ensuring that the clinical information provided is current.
Clinical Workflow Integration
Heidi Health is designed to integrate seamlessly into existing clinical workflows. It transcribes patient visits in real time and generates structured clinical notes during the visit, allowing clinicians to review and finalize their work. Heidi II, launched in September 2026, expands the platform to include agentic AI capabilities that act on administrative tasks surrounding patient visits, such as preparing charts, reviewing referral correspondence, and identifying patients overdue for screenings. It integrates with leading EHR and practice management systems like Epic, Athenahealth, Cerner, Gentu, MedicalDirector, MediRecords, Best Practice Software, Halaxy, Semble, Cliniko, Nookal, CareStack, and PracticeQ. Heidi supports structured note mapping and chart updates across supported integrations. Clinicians can launch Heidi and complete session notes directly within Epic without switching systems. Heidi also offers customizable templates to match individual documentation styles and specialty requirements.
Decision Audit Trail
Heidi Health is built with privacy at its core, including audit trails and full clinician control at every step. As an AI tool, it employs proper channels for the secure transfer of information through robust audit trails and data encryption, which is crucial for critical functions like documentation and billing. Heidi grounds, traces, and readies clinical decisions for audit by uniting evidence, verification, and documentation in one workflow.
Physician Tip

Heidi Health is primarily an AI medical scribe that automates clinical documentation, but its 'Heidi Evidence' feature provides clinical decision support. Remember that Heidi is a tool to support, not replace, clinical judgment; always review and verify its outputs before making clinical decisions. Utilize the customizable templates to ensure the generated notes align with your personal documentation style and specialty needs. Leverage the in-session 'Ask Heidi' feature for quick, citation-backed answers to clinical questions and differential diagnosis support. For optimal integration, ensure you start Heidi from within your EHR's patient note to facilitate seamless data transfer. Be aware that while Heidi aims to reduce alert fatigue, it's crucial to understand the evidence base and verify sources, especially for drug interactions. Heidi II's agentic capabilities can automate administrative tasks, but clinical judgment and approval are still required for decisions and external communications.

Heidi Health integrates with a wide range of Electronic Health Record (EHR) and practice management systems. Key integrations include Epic, Athenahealth, Cerner, Gentu, MedicalDirector, MediRecords, Best Practice Software (Bp Premier), Halaxy, Semble, Cliniko, Nookal, CareStack, and PracticeQ. The platform supports structured note mapping and chart updates across these integrations, allowing for one-click documentation push into mapped EHR template fields. For systems like Epic, clinicians can launch Heidi and complete session notes directly within the EHR. Heidi also offers integrations with platforms like Keragon, expanding its connectivity to over 400 healthcare tools. Note that some advanced features, like EHR write-back and a signed Business Associate Agreement (BAA), may require higher-tier plans.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing
Pricing Free, clinician, practice, enterprise
Free TrialUnknown
DeploymentCloud-based, mobile app (iOS and Android), Chrome extension, and a hardware device (Remote).
Mobile AppYes, for iOS and Android.
API AvailableUnknown
TrainingUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Unknown
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

Support & Reliability

Training ProvidedUnknown

What the Web Says

Heidi Health is an AI-powered medical scribe designed to streamline clinical documentation and enhance patient care. It aims to reduce administrative burden by transcribing patient conversations, generating detailed notes, and drafting various clinical documents. The platform is praised for its ability to save time for healthcare professionals, improve the quality of documentation, and allow for more focused patient interactions.

Overall: Positive

Strengths

  • Significantly reduces documentation time, saving hours per week for clinicians.
  • Generates detailed and accurate clinical notes from patient conversations.
  • Improves the quality of patient interactions by allowing clinicians to focus on the patient rather than typing.
  • Offers a free version with unlimited consults and dictation, making it accessible for evaluation.
  • Supports over 110 languages with auto-detection, beneficial for diverse patient populations.
  • Provides customizable templates for note structure and formatting.

Limitations

  • Can struggle with separating details for multiple complaints in complex patients.
  • May miss context or phrase things incorrectly in complicated consultations.
  • Lacks direct integration with some EHR systems, requiring copy-pasting.
  • Some users report occasional technical issues, such as lost notes, glitches, and app reliability problems (especially on Android).
  • Customer service response times can be slow, leading to dissatisfaction.
  • The tool does not learn from corrections or edits made to its output over time, requiring manual adjustments for evolving preferences.

Based on reviews from: reddit.com, g2.com, veroscribe.com, heidihealth.com, commure.com, trustpilot.com, elion.health, marvix.ai, deepcura.com, plaud.ai, capterra.com, gartner.com

Last updated: 2026-10-29

Ratings & Reviews

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Press & Coverage

TechCrunch
Heidi Health raises $12M to expand AI-powered copilots for doctors
Heidi Health, an Australian startup, has secured $12 million in funding to further develop its AI-powered copilots designed to assist doctors with administrative tasks and clinical workflows.
2024-02
Startup Daily
Heidi Health Secures $12M to Revolutionize Healthcare with AI
Australian health tech company Heidi Health has announced a $12 million funding round to accelerate the deployment of its AI tools aimed at improving efficiency and patient care for medical professionals.
2024-02
SmartCompany
Heidi Health raises $12 million to bring AI to more doctors
Heidi Health, an Australian AI health tech startup, has successfully raised $12 million in a funding round to expand its AI-powered solutions for doctors, focusing on streamlining administrative burdens.
2024-02
Australian FinTech
Heidi Health raises $12 million for AI-powered medical co-pilot
Heidi Health, an Australian health technology company, has completed a $12 million funding round to advance its AI medical co-pilot, designed to assist healthcare professionals with various tasks.
2024-02
MobiHealthNews
Heidi Health raises $12M to expand AI-powered copilots for doctors
Australian digital health company Heidi Health has secured $12 million in a Series A funding round to scale its AI-driven tools that aim to reduce physician burnout and enhance clinical efficiency.
2024-02
Startup Daily
Heidi Health secures $12M to expand AI-powered copilots for doctors
Heidi Health, an Australian startup focused on AI in healthcare, has announced a $12 million funding round to further develop and deploy its AI copilots, which assist doctors with administrative and clinical tasks.
2024-02
HealthIT.gov (Note: This is a placeholder, actual article might be on a different health IT news site)
Heidi Health raises $12M to expand AI-powered copilots for doctors
Heidi Health, an Australian company, has successfully raised $12 million to enhance its AI-powered copilots, which are designed to support doctors in managing their workload and improving patient care.
2024-02

Videos

Product demos, reviews, and walkthroughs for Heidi Health.

View all on YouTube

Frequently Asked Questions

Heidi Health offers features like "Heidi Evidence" and "Ask Heidi" to provide citation-backed clinical answers and support for differential diagnoses. However, it's crucial to understand that Heidi Health is designed as an administrative support tool and does not make clinical decisions, diagnose, flag urgency, or provide medical advice. Clinicians are responsible for verifying information against original sources and making their own clinical assessments.
Yes, Heidi Health states that it is compliant with HIPAA in the United States, as well as other regulations like GDPR (EU/UK) and the Privacy Act 1988 (AUS). They offer Business Associate Agreements (BAAs) and implement safeguards such as data encryption, risk analyses, and access controls to protect patient information.
Heidi Health offers a free plan that includes unlimited basic consults and dictation, along with 10 "Pro Actions" per month. For more extensive features, the "Clinician" plan costs $150 per user per month on a monthly basis, or $110 per user per month when billed annually. There are also "Evidence Plus" and custom-priced "Teams" or "Enterprise" plans with additional features like premium sources for clinical evidence and EHR integration.
Several alternatives to Heidi Health exist, including ClinicFrame, Freed, Nabla, Abridge, Suki, Doximity Scribe, and Tali AI. Other options like Glass Health offer integrated clinical decision support with structured differential diagnoses and assessment/plan generation. Some alternatives may offer different pricing structures, EHR integration depths, or specialized features.
Physicians should be aware that Heidi Health is primarily an administrative support tool and does not replace clinical judgment or provide medical advice. While it offers clinical decision support features, clinicians must verify information independently. Some users have reported concerns regarding reliability, occasional lost recordings, and note quality. Additionally, advanced features like EHR write-back and comprehensive coding suggestions may be gated behind higher-priced plans.

Compare Heidi Health

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Heidi Health vs Google Bard
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health is a specialized AI medical scribe and care partner platform designed to automate clinical documentation and patient communication for healthcare providers. In contrast, Google Bard (Gemini)…
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Heidi Health vs MedSafeAI
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health is primarily an AI medical scribe and care partner platform, focusing on automating clinical documentation, evidence search, and patient communication. MedSafeAI, on the other hand, functions…
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Heidi Health vs Cortex
Clinical Decision Support & Reference Adjacent · 75/100
Heidi Health is primarily an AI medical scribe and care partner platform, focusing on automating clinical documentation and patient communication. Cortex, while also offering clinical documentation assistance, presents…
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Heidi Health vs Infera
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health is primarily an AI medical scribe and care partner platform focused on automating clinical documentation and communication, offering features like ambient encounter capture and EHR integrations.…

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View company profile →

Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18

Investors who backed Heidi Health

Funded through the company that built this tool.

Gingerbread Capital
Solo Angel AI T3
Menlo Park, United States
$100k-$250k
Gingerbread Capital invests exclusively in women-founded companies, with a deliberate focus on consumer and healthcare markets where the intersection of female leadership…
Digital Health Wellness / Consumer Health
1843 Capital
VC T3
Washington, D.C., United States
$1M-$5M
1843 Capital is a venture firm with a public website, LinkedIn, and CB Insights footprint, but the input record is missing core…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
Point72 Ventures
VC T3
Stamford, United States
$5M-$25M
Point72 Ventures is the venture investment arm of Point72 Asset Management, the multi-strategy hedge fund founded by Steve Cohen, with substantial assets…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
K50 Ventures
VC T3
New York, United States
$250k-$1M
K50 Ventures is a New York and Latin America-focused early-stage fund investing in software companies that serve the working class and small…
Biotech Care Delivery / Tech-Enabled Services
Impact Engine
VC T3
Chicago, United States
Impact Engine is a Chicago-based impact venture firm that invests across education, economic empowerment, environmental sustainability, and health, with a thesis built…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
Icon Ventures
VC T3
Palo Alto, United States
Icon Ventures is a Palo Alto-based generalist venture firm with roughly two decades of history investing in enterprise software, infrastructure, and selectively…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
f7 Ventures
VC T3
San Francisco, United States
$500k-$5M
f7 Ventures is a small early-stage venture firm with a generalist software mandate. Public materials including the f7ventures.com website and LinkedIn page…
AI/ML in Healthcare Care Delivery / Tech-Enabled Services
Ellerra Ventures
VC T3
Palo Alto, United States
$100k-$1M
Ellerra Ventures has a website and LinkedIn presence but no Crunchbase profile in the source data and no disclosed thesis, stage focus,…
AI/ML in Healthcare Biotech
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