Lately, medical documentation enchancment instruments have more and more develop into a staple companion for docs.
This assistive instrument, which helps tackle clinician burnout, has developed from simply automating transcriptions throughout medical encounters or consultations to additionally being able to ambiently listening within the background and offering good suggestions, all powered by AI.
The adoption of smarter, extra correct medical documentation instruments – popularly known as digital or AI scribes – has grown over the previous two years amid the rave over generative AI.
Now, as AI builders are engaged on a more recent type of AI – agentic, which is able to appearing by itself – it’s extremely seemingly that medical documentation can be one in every of the rising AI’s first use purposes.
And certainly, a squad of Singaporean docs is already making this occur.
AIGP Well being, a startup based by 4 docs in Singapore, gives an agentic AI-powered medical assistant that additionally capabilities as a real-time copilot supporting medical judgment. Of their phrases, they mentioned the AI engine, known as Anzu, autonomously initiates structured historical past taking, triage, and affected person follow-up earlier than a clinician picks up a case.
The AI assistant, deployed by way of net and WhatsApp cell utility, passively listens earlier than and through a affected person session, processes structured and unstructured medical enter, after which generates “correct, audit-compliant, and context-aware” session notes.
In addition to enhancing notes completeness, Anzu reportedly reduces medical documentation time “by as much as 40%” and “surfaces essential patterns that guide workflows typically miss.”
An answer to clinicians’ frustrations
In an interview with Mobihealth Information, every of the AIGP founders detailed how they began searching for an AI-powered answer to an all-too-familiar battle amongst well being professionals: time taken away by administrative duties.
“In emergency settings, each minute issues. But, I typically spent as a lot time documenting instances as I did treating them. It is irritating when documentation takes priority over affected person presence. I’ve seen how this delay impacts triage accuracy, discharge planning, and follow-up adherence. AIGP Well being was born from this urgency – to present that point again.”
Dr Nicholas Chia, CEO, emergency drugs specialist
“As a major care doctor, I would spend 15-20 minutes per affected person – of which 30%-40% went to notes, summaries, and follow-up scheduling. That is time I did not must pay attention deeply or personalise care. Worse, sufferers with complicated continual circumstances typically slipped via. This instrument provides us the house to be clinicians once more, not simply information entry operators.”
Dr Prateet Singh Narula, Medical Lead, major care and continual illness specialist
“I’ve labored on the frontline and in AI labs. The disconnect was clear: instruments had been being constructed with out medical actuality in thoughts. That is why our assistant was designed not simply to operate, however to suit. We targeted on creating an AI that docs belief and that learns from real-life utilization. It isn’t nearly lowering workload; it is enabling higher, sooner selections.”
Dr Yudara Kularathne, CTO, emergency doctor and AI Skilled
“As a clinician, startup founder, part-time Grasp of Science pupil, affected person advocate, and dad or mum, I’ve needed to undertake an AI-first mindset simply to remain afloat. From managing analysis, crew workflows, to even structuring my very own studying, AI has develop into my co-pilot. So with regards to medical care, the logic is identical. Sufferers with autoimmune illnesses do not current with textbook flares; they evolve subtly, unpredictably. If we do not observe that nuance – medical modifications, serologies, lived expertise – we threat lacking what issues. But, the psychological bandwidth it takes to doc all of this, by hand, isn’t any small factor. AIGP wasn’t simply born out of comfort. It is about reclaiming cognitive house, so we will assume clinically, act decisively, and deal with what really modifications outcomes: the affected person in entrance of us.”
Dr Anindita Santosa, Product Growth, major care and rheumatology
Not one other AI scribe
The market is already inundated with numerous choices for medical documentation (together with those who incorporate AI), with some well being programs creating in-house options.
“You are completely proper. There are various AI scribes and documentation instruments getting into the market 1750153067. However most of them had been constructed for general-purpose transcription, retrofitted for healthcare, or developed exterior medical environments,” mentioned Dr Narula.
The marketplace for medical documentation enchancment instruments may very well be value over $10 billion by 2034, rising from round $5 billion as we speak, primarily based on the newest projections. This development is pushed by the growing quantity of affected person information healthcare suppliers gather, compliance with authorities rules, and adoption of EMR/EHR programs.
A significant participant on this house is Nuance, which Microsoft totally acquired in 2022. In Asia-Pacific, Heidi Well being from Melbourne, Australia, is rising in recognition; the startup not too long ago raised $17 million in funding to additional broaden its AI scribe’s capabilities. In the meantime, massive well being programs throughout Asia, together with SingHealth in Singapore, South Korea’s largest hospital, Asan Medical Middle, and the personal healthcare supplier group Ramsay Well being Care in Australia, have developed their very own AI-powered, ambient medical note-taking instrument.
“We’re not constructing one other AI scribe; we’re constructing a medical cognition layer,” Dr Narula maintained.
By medical cognition layer, he signifies that what they provide will not be a passive transcription instrument however “an lively medical assistant that thinks by way of illness trajectories, flare patterns, and resolution assist surfacing insights that transcend what was mentioned within the session.”
That is in contrast to current medical documentation instruments that use generic speech-to-text wrapped in templated SOAP formatting, he added.
AIGP additionally plans to develop a hybrid structure that helps on-device edge processing for privacy-sensitive consultations, low latency, and offline resilience – one thing that cloud-only scribes have but to do, in keeping with Dr Narula.
Anzu, he additional defined, is about “redefining what an assistant might be – an clever co-pilot that restores medical focus, enhances affected person continuity, and adapts to real-world healthcare challenges with context, care, and medical integrity.”
Initially designed for normal practitioners in high-volume major care settings, Anzu will also be utilized by:
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major care physicians and household drugs practitioners;
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specialists with continual case hundreds, akin to in endocrinology, rheumatology, geriatrics;
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nurse practitioners, allied well being professionals, and care coordinators;
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public well being groups conducting outreach, screening, or group follow-ups.
It will also be deployed within the following settings:
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outpatient clinics and polyclinics
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telemedicine platforms and hybrid digital clinics
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group well being centres and cell well being models
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home-based continual care packages
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post-discharge care coordination models
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rural well being outreach packages
“As a result of Anzu is designed to be platform-agnostic and accessible by way of low-barrier interfaces like WhatsApp, it adapts properly to each tech-forward city well being programs and resource-constrained environments,” Dr Narula famous. For now, the AI assistant might be built-in into EMR programs by way of safe APIs whereas the corporate works to adjust to broadly adopted information requirements, akin to HL7 FHIR.
Moreover, the Anzu co-pilot is without doubt one of the few AI-powered instruments skilled for the Asia-Pacific healthcare atmosphere. It supplies multilingual and code-switching assist for localised care and tailor-made documentation kinds and alignment with native billing workflows.
Assistive, not authoritative
AIGP defined that its platform is constructed by taking a privacy-by-design and security-by-default strategy, which ensures well being information safety at each stage of interplay throughout platforms or gadgets.
It options end-to-end encryption, role-based entry, and safe audit trails. Connections with exterior programs are executed via safe, authenticated API integrations with strict token-based entry and information isolation protocols. It additionally requires specific permission to permit third-party programs to entry affected person information.
In the meantime, its pure language processing system consists of confidence scoring, escalation triggers, and automated handover to clinicians if ambiguity, threat, or incomplete enter is detected
“Anzu by no means acts autonomously on medical selections. All outputs are reviewed, authorized, or edited by a clinician earlier than being recorded or actioned, making certain that AI stays assistive, not authoritative,” Dr Narula pressured.
The AIGP platform can be aligned with Singapore’s Private Information Safety Act and configurable to adjust to different jurisdictions, just like the European Union’s (EU) Basic Information Safety Regulation.
Moreover, the startup will pursue a voluntary SOC 2 cybersecurity certification to “future-proof in opposition to scale and coverage necessities.”
AIGP is ending a pilot research with two major care clinics, with early suggestions from medical workers being “extremely constructive,” significantly round workflow effectivity and ease of integration.
“Preliminary outcomes point out a measurable affect, with clinics reporting at the very least a ten% discount in time spent on routine documentation and administrative duties,” Dr Narula shared.
Approaching change
Pushing the uptake of many digital and technological instruments amid digital transformation might spook and overwhelm docs, particularly those that are much less digitally savvy.
“We perceive that many senior docs aren’t proof against innovation – they’re proof against complexity. Most have skilled tech that over-promised and under-delivered, typically including extra steps to their workflow moderately than eradicating them,” famous Dr Narula.
“Docs don’t want extra dashboards—they want extra time,” he emphasised.
With their AI-powered medical co-pilot, AIGP says they take a modular strategy to adoption. “Senior docs can begin with one operate, like automated history-taking, and progressively broaden to medical summarisation and follow-up instruments as consolation builds.”
Anzu is offered on WhatsApp, which many clinicians are already acquainted with and are utilizing every day. “This instantly lowers the barrier to entry and accelerates onboarding,” Dr Narula claimed.
The assistant additionally gives transparency: it permits docs to see, edit, and approve each output earlier than they’re saved or despatched, “restoring a way of management moderately than forcing a brand new workflow,” Dr Narula defined.
Furthermore, it supplies explainable AI outputs, audit trails, and clear documentation protocols.
“Our purpose is to not digitise healthcare for its personal sake, however to amplify the clinician’s experience with out asking them to alter who they’re or how they assume. The very best tech is the type that quietly helps – with out getting in the way in which.
“We see AI not as an add-on, however as a medical infrastructure: purpose-built to revive cognitive house, cut back administrative drag, and allow extra exact, steady care.
“Finally, our purpose is to empower any healthcare supplier burdened by documentation and follow-up, and any well being system seeking to scale personalised care with out scaling burnout,” Dr Narula mentioned.
Within the subsequent 12 months, AIGP plans to safe the Singapore Well being Sciences Authority’s regulatory clearance and conduct ultimate pilots and technical validation with outpatient and GP clinics earlier than commercially launching its agentic AI-powered platform. It can even be getting ready for entry into Australia.
The corporate additionally shared that within the subsequent three years, it would search clearance from the Therapeutic Items Administration of Australia, deploy its AI answer to major care and telehealth clinics in Singapore and Australia, broaden its utility to cowl extra continual care and documentation use instances, and pursue safer integrations with third-party EHRs. The corporate additionally appears to be like to acquire CE marking from the EU.
AIGP additionally expects to progressively develop from clinic-level rollouts to well being network-level implementations inside regulated markets.
