Heidi launches "Evidence," acquires AutoMedica, and steps beyond AI scribing into real-time clinical support
Heidi, the Melbourne-based healthcare AI platform, is moving past transcription. The company introduced Heidi Evidence for point-of-care decision support, unveiled Heidi Comms for calls and follow-ups, and acquired UK clinical AI company AutoMedica. The goal: a single AI Care Partner that unites documentation, evidence, and communication in one workflow.
Why this matters for clinicians
Clinical evidence drives diagnosis, prescribing, monitoring, and safety-but staying current is getting harder. With medical knowledge doubling every 73 days, static references and ad-supported tools fall short. Heidi Evidence aims to close that gap by surfacing transparent, localised guidance inside the workflow you already use.
- Evidence at the point of care: Integrated into Heidi or available standalone, with citations and verbatim excerpts so you can verify quickly.
- Local context built in: Partnerships with HealthPathways, EMGuidance, MIMS, Vidal, NICE, and BMJ Group aim to reflect regional standards and formularies.
- No ads, auditable sources: A pledge to remain ad-free with traceable data to reduce bias and commercial influence.
- Comms that reduce admin load: Heidi Comms helps manage calls, bookings, reminders, and follow-ups so teams can stay focused on care.
How Heidi Evidence works
The evidence layer sits directly inside the Heidi platform, enriching documentation and clinical reasoning without forcing clinicians into separate tools. It can also be run standalone for teams that want to trial evidence support before changing documentation workflows.
Under the hood, Heidi Evidence is built in part on Claude-Anthropic's AI models-selected for interpreting complex clinical conversations, synthesizing literature, and producing grounded outputs in high-stakes environments. The company positions this as a safety-first approach anchored in transparent sourcing.
Access and pricing
Heidi Evidence is free for individual clinicians. Enterprise revenue is used to subsidize access in resource-constrained or fragmented markets, offering a professional route that avoids consumer ad models. The intent is simple: keep evidence independent, visible, and easy to validate.
UK expansion and regulatory momentum
Heidi's acquisition of AutoMedica deepens its UK footprint and regulatory relationships. AutoMedica's participation in the MHRA's AI Airlock sandbox is expected to accelerate Heidi's pathway for compliant deployment in the UK.
Scale, privacy, and security
Heidi reports support for more than 2.4 million consults each week across 110 languages in 190 countries. The company states adherence to NHS, HIPAA, GDPR, and Australian Privacy Principles, and holds SOC 2 and ISO 27001 certifications. To date, Heidi has raised $96.6 million from Point72 Private Investments, Blackbird, Headline, Phoenix Court's Latitude, Possible Ventures, and Archangel.
Practical takeaways for care teams
- Start with high-volume use cases: Triage, medication queries, and discharge planning benefit most from in-context evidence and clear citations.
- Define governance upfront: Set expectations for citation review, note final sign-off, and audit trails to maintain accountability.
- Integrate with existing workflows: Map Heidi Comms to front-desk protocols for bookings, reminders, and follow-ups to reduce phone backlogs.
- Measure impact: Track decision time, callback rates, and guideline adherence to quantify value before scaling across departments.
Key quotes
"We believe that for AI to be a true care partner, the integrity of its evidence must be non-negotiable. As we see more general-purpose AI platforms like OpenAI move toward ad-supported models, consumers are rightly concerned about hidden influence. In a healthcare setting, that concern becomes paramount. Bringing transparent, clinical-grade insights into the room makes it easier to deliver quality care, but that information must be free from the ambiguity of commercial influence. By committing to Evidence being ad-free and independent, we ensure clinicians can stay present with their patients, knowing their decision-making is built on pure clinical rigor, not a business model." - Dr. Thomas Kelly, Co-Founder and CEO of Heidi
"Heidi is tackling one of the hardest problems in healthcare AI: how to scale capability without compromising trust. By treating evidence as core infrastructure, not content monetised through ads or influence, Heidi is building the kind of defensible, globally relevant platform healthcare systems are demanding." - Michael Tolo, General Partner at Blackbird
Further resources
For more context on applying AI in clinical settings, see AI for Healthcare.
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