Heidi started by quietly listening to the doctors. Now, it’s stepping onto something bigger. It is helping doctors think, decide and stay connected with patients beyond the consultation room.
And its latest moves make that clear!
From listening to reasoning: Heidi’s next chapter
Last month, the Melbourne-based AI company announced three major updates that are more than just a product update.
It has launched Heidi Evidence and Heidi Comms, while also acquiring UK-based clinical AI pioneer AutoMedica.
Individually, each move is good. Together, they signal Heidi’s repositioning.
It is no longer just a note-taking assistant. It’s evolving into an AI care partner. One that listens, reasons, and supports clinical decisions in real time.
Meet Heidi, the AI platform that wants to give doctors their time back
At its core, Heidi is an AI-powered platform designed to take administrative weight off clinicians’ shoulders.
It automates documentation, form-filling, task management, and patient co-ordination. So doctors can focus on the task that no algorithm can replace—being present with the patient.
And it’s already operating at scale.
The platform supports over 2.4 million consultations every week, across 190 countries and in 110 languages, spanning everything from emergency departments to specialist clinics.
The impact is tangible:
- 51% reduction in documentation time
- 61% reduction in after-hours admin work
Heidi’s ambition is to double the world’s healthcare capacity, not by adding more infrastructure, but by making the existing system work efficiently.
Inside the platform: from consultation to patient record
Heidi’s platform is built as an end-to-end clinical workflow system.
Its flagship feature is ambient AI scribe, which listens to patient consultations in real time, transcribes clinical findings, and generates structured notes instantly. No typing required.
These notes are pushed directly into patient records through EHR integration with practice management systems like Zedmed, in a single click.
For specialized practices like oncology, psychiatry, orthopaedic surgeries, and other specialties, Heidi offers tailored templates for diagnostic letters and referrals, aligned with each speciality’s requirements.
However, the real shift comes from its latest additions.
- Heidi Evidence introduces a real-time knowledge retrieval layer. This allows
- Heidi Comms extends automation into patient communication and coordination
As Dr Simon Kos, Chief Medical Officer at Heidi, puts it:
“Clinicians need to see the strength of the evidence behind every answer, and the tool can contextually safety-net patients to prevent dangerous diagnostic misses.”
The founders and the $96.6 million bet behind the team
Dr Thomas Kelly, Waleed Mussa, and Yu Liu founded Heidi to solve the problem of admin burden, which is one of healthcare’s major administrative crises.
The startup has raised $96.6 million from investors including Point72 Private Investments, Blackbird, Headline, Phoenix Court’s Latitude growth fund, Possible Ventures, and Archangel.
Michael Tolo, General Partner at Blackbird, said
“Heidi is tackling one of the hardest problems in healthcare AI, scaling capability without losing trust. Healthcare systems are demanding platforms where evidence is treated as core infrastructure, not a feature.”
The evolution of Heidi: From charting tool to clinical partner
Heidi’s journey started with faster documentation.
After supporting over 100 million clinical interactions, the platform is now embedding clinical reasoning directly into workflows.
The launch of Heidi Evidence ensures that every decision is backed by verifiable knowledge—not just generated text.
The acquisition of AutoMedica adds another layer, signalling Heidi’s intent to work closely with institutional healthcare systems and regulatory environments.
Looking ahead, Heidi is developing features like Source Control and The Library. These will allow healthcare organizations to upload and use their own proprietary clinical documents as knowledge sources for their teams to use.
The long-term vision is to build autonomous models of care.
The new tools are closing the gaps
Evidence: Bringing transparency into clinical decision-making
Heidi Evidence is designed to solve a core problem in clinical AI. And that’s trust.
Instead of generating answers in a black box, it provides fully cited responses from trusted medical sources like NICE, BMJ, MIMS, and HealthPathways. Clinicians can see the exact excerpt supporting an answer. Not just a hyperlink or a reference.
When used alongside the AI scribe, Heidi Evidence helps clinicians:
- Validate diagnoses or treatment pathways
- Generate cited PDF explainers for patients
- Create multi-day summaries and audit spreadsheets automatically.
And importantly, Heidi is offering this access free to individual clinicians, lowering the barrier to high-quality medical knowledge.
Comms: Extending care beyond the consultation
If Heidi Evidence strengthens decisions, Heidi Comms strengthens continuity.
It handles the operational side of care. Patient calls, appointment scheduling, reminders, follow-ups, and post-visit engagement, across channels like SMS, email, and app notifications.
But this isn’t just about automation, Heidi Comms:
- Maintains consistent communication between visits
- Monitors recovery touchpoints
- Reinforces care plans through personalised follow-ups
The goal is to close the gaps between appointments, departments, and care teams.
The competitive edge Heidi is betting on
Heidi operates in a crowded space.
It competes with established clinical knowledge tools like UpToDate and Open Evidence, as well as powerful new entrants like DoxGPT and OpenAI entering clinical settings.
What sets Heidi apart is a deliberate choice to keep its evidence model ad-free and non-commercial.
Heidi Evidence is free for individual clinicians. The platform adheres to international privacy standards, including HIPAA, GDPR, and the Australian Privacy Principles. It also holds SOC2 and ISO27001 security certifications that ensure patient data remains encrypted and protected.
This is a strategic advantage. With a regulatory environment that is growing skeptical of AI in healthcare, transparency and neutrality are essential.
Features like Source Control, which show exactly where answers originate from, push Heidi further ahead on this front, offering a level of traceability competitors have not matched.
The numbers behind the noise: What Heidi is actually fixing
The scale of the challenge is hard to ignore:
- Medical knowledge now doubles every 73 days. No clinician can keep pace with it.
- Documentation failures are linked to 20% of closed malpractice cases
- Poor communication during care transitions contributes to up to 80% of serious medical errors.
Heidi’s platform addresses the above three issues simultaneously.
- Better, faster documentation reduces malpractice risk.
- Evidence-backed decision support closes the knowledge gap.
- Integrated communication reduces the errors that happen among appointments, departments, and care teams.
For clinicians, the effects show up in day-to-day work.
- 38% improvement in clinical note quality satisfaction
- 33% increase in confidence in documentation accuracy
- 58% reduction in documentation-related stress
- 75% report having more time for patients
Wrapping up
Healthcare doesn’t need more noise. It needs systems that quietly make things work better.
In a system stretched to its limits, Heidi is promising to make doctors more present, better informed and less burdened.
That, it turns out, is a very large market.
-By Dr Rohini Devi and the AHT Team
