In recent times, scientific documentation enchancment instruments have more and more develop into a staple companion for medical doctors.
This assistive software, which helps tackle clinician burnout, has advanced from simply automating transcriptions throughout scientific encounters or consultations to additionally being able to ambiently listening within the background and offering sensible suggestions, all powered by AI.
The adoption of smarter, extra correct scientific documentation instruments – popularly referred to 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 moderen type of AI – agentic, which is able to appearing by itself – it’s extremely probably that scientific documentation could be one among the rising AI’s first use functions.
And certainly, a squad of Singaporean medical doctors is already making this occur.
AIGP Well being, a startup based by 4 medical doctors in Singapore, affords an agentic AI-powered scientific assistant that additionally features as a real-time copilot supporting scientific judgment. Of their phrases, they stated the AI engine, referred to 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 through net and WhatsApp cell software, passively listens earlier than and through a affected person session, processes structured and unstructured scientific enter, after which generates “correct, audit-compliant, and context-aware” session notes.
In addition to bettering notes completeness, Anzu reportedly reduces scientific documentation time “by as much as 40%” and “surfaces vital patterns that handbook workflows typically miss.”
An answer to clinicians’ frustrations
In an interview with Mobihealth Information, every of the AIGP founders detailed how they began in search of 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 circumstances 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 provide that point again.”
Dr Nicholas Chia, CEO, emergency medication 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 need to hear deeply or personalise care. Worse, sufferers with complicated continual situations typically slipped via. This software offers us the area to be clinicians once more, not simply knowledge 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 scientific actuality in thoughts. That is why our assistant was designed not simply to operate, however to suit. We centered on creating an AI that medical doctors belief and that learns from real-life utilization. It isn’t nearly decreasing workload; it is enabling higher, sooner choices.”
Dr Yudara Kularathne, CTO, emergency doctor and AI Knowledgeable
“As a clinician, startup founder, part-time Grasp of Science scholar, affected person advocate, and mum or dad, I’ve needed to undertake an AI-first mindset simply to remain afloat. From managing analysis, staff workflows, to even structuring my very own studying, AI has develop into my co-pilot. So in relation to scientific care, the logic is similar. Sufferers with autoimmune illnesses do not current with textbook flares; they evolve subtly, unpredictably. If we do not monitor 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 area, so we are able to assume clinically, act decisively, and concentrate on what truly 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 varied choices for scientific documentation (together with people who incorporate AI), with some well being methods creating in-house options.
“You are completely proper. There are lots of AI scribes and documentation instruments getting into the market 1750167010. However most of them had been constructed for general-purpose transcription, retrofitted for healthcare, or developed outdoors scientific environments,” stated Dr Narula.
The marketplace for scientific documentation enchancment instruments may very well be value over $10 billion by 2034, rising from round $5 billion right this moment, based mostly on the newest projections. This development is pushed by the growing quantity of affected person knowledge healthcare suppliers acquire, compliance with authorities rules, and adoption of EMR/EHR methods.
A serious participant on this area 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 develop its AI scribe’s capabilities. In the meantime, massive well being methods throughout Asia, together with SingHealth in Singapore, South Korea’s largest hospital, Asan Medical Heart, and the personal healthcare supplier group Ramsay Well being Care in Australia, have developed their very own AI-powered, ambient scientific note-taking software.
“We’re not constructing one other AI scribe; we’re constructing a scientific cognition layer,” Dr Narula maintained.
By scientific cognition layer, he signifies that what they provide shouldn’t be a passive transcription software however “an energetic scientific assistant that thinks when it comes to illness trajectories, flare patterns, and resolution assist surfacing insights that transcend what was stated within the session.”
That is not like present scientific 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 may be – an clever co-pilot that restores scientific focus, enhances affected person continuity, and adapts to real-world healthcare challenges with context, care, and scientific integrity.”
Initially designed for common practitioners in high-volume major care settings, Anzu may also be utilized by:
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major care physicians and household medication practitioners;
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specialists with continual case hundreds, resembling 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 neighborhood follow-ups.
It may 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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neighborhood well being centres and cell well being models
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home-based continual care applications
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post-discharge care coordination models
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rural well being outreach applications
“As a result of Anzu is designed to be platform-agnostic and accessible through low-barrier interfaces like WhatsApp, it adapts properly to each tech-forward city well being methods and resource-constrained environments,” Dr Narula famous. For now, the AI assistant may be built-in into EMR methods through safe APIs whereas the corporate works to adjust to broadly adopted knowledge requirements, resembling HL7 FHIR.
Moreover, the Anzu co-pilot is without doubt one of the few AI-powered instruments skilled for the Asia-Pacific healthcare setting. It offers multilingual and code-switching assist for localised care and tailor-made documentation types 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 method, which ensures well being knowledge safety at each stage of interplay throughout platforms or units.
It options end-to-end encryption, role-based entry, and safe audit trails. Connections with exterior methods are carried out via safe, authenticated API integrations with strict token-based entry and knowledge isolation protocols. It additionally requires express permission to permit third-party methods to entry affected person knowledge.
In the meantime, its pure language processing system contains confidence scoring, escalation triggers, and computerized handover to clinicians if ambiguity, threat, or incomplete enter is detected
“Anzu by no means acts autonomously on scientific choices. All outputs are reviewed, authorised, or edited by a clinician earlier than being recorded or actioned, making certain that AI stays assistive, not authoritative,” Dr Narula burdened.
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 towards scale and coverage necessities.”
AIGP is ending a pilot research with two major care clinics, with early suggestions from scientific workers being “extremely constructive,” significantly round workflow effectivity and ease of integration.
“Preliminary outcomes point out a measurable influence, with clinics reporting not less than 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 could spook and overwhelm medical doctors, particularly those that are much less digitally savvy.
“We perceive that many senior medical doctors 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 relatively than eradicating them,” famous Dr Narula.
“Medical doctors don’t want extra dashboards—they want extra time,” he emphasised.
With their AI-powered scientific co-pilot, AIGP says they take a modular method to adoption. “Senior medical doctors can begin with one operate, like automated history-taking, and progressively develop to scientific summarisation and follow-up instruments as consolation builds.”
Anzu is obtainable on WhatsApp, which many clinicians are already aware of and are utilizing each day. “This instantly lowers the barrier to entry and quickens onboarding,” Dr Narula claimed.
The assistant additionally affords transparency: it permits medical doctors to see, edit, and approve each output earlier than they’re saved or despatched, “restoring a way of management relatively than forcing a brand new workflow,” Dr Narula defined.
Furthermore, it offers 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. One of the best tech is the sort that quietly helps – with out getting in the best way.
“We see AI not as an add-on, however as a scientific infrastructure: purpose-built to revive cognitive area, scale back administrative drag, and allow extra exact, steady care.
“In the end, 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 stated.
Within the subsequent 12 months, AIGP plans to safe the Singapore Well being Sciences Authority’s regulatory clearance and conduct remaining pilots and technical validation with outpatient and GP clinics earlier than commercially launching its agentic AI-powered platform. It is going to even be making ready for entry into Australia.
The corporate additionally shared that within the subsequent three years, it can search clearance from the Therapeutic Items Administration of Australia, deploy its AI answer to major care and telehealth clinics in Singapore and Australia, develop its software to cowl extra continual care and documentation use circumstances, and pursue safer integrations with third-party EHRs. The corporate additionally appears 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.
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