Lately, scientific documentation enchancment instruments have more and more change into a staple companion for docs.
This assistive device, 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 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 moderen type of AI – agentic, which is able to performing by itself – it’s extremely doubtless that scientific documentation can be one in all 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, presents an agentic AI-powered scientific assistant that additionally features as a real-time copilot supporting scientific 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 internet and WhatsApp cell utility, 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.
Apart from bettering notes completeness, Anzu reportedly reduces scientific 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 in search of an AI-powered resolution 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 offer 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 need to pay attention deeply or personalise care. Worse, sufferers with advanced persistent situations typically slipped by means of. This device offers us the area to be clinicians once more, not simply information entry operators.”
Dr Prateet Singh Narula, Medical Lead, major care and persistent illness specialist
“I’ve labored on the frontline and in AI labs. The disconnect was clear: instruments have been being constructed with out scientific actuality in thoughts. That is why our assistant was designed not simply to perform, however to suit. We targeted on creating an AI that docs belief and that learns from real-life utilization. It is not nearly lowering workload; it is enabling higher, sooner choices.”
Dr Yudara Kularathne, Cto, Emergency Doctor and AI skilled
“As a clinician, startup founder, part-time Grasp of Science scholar, affected person advocate, and father or mother, I’ve needed to undertake an AI-first mindset simply to remain afloat. From managing analysis, group workflows, to even structuring my very own studying, AI has change into my co-pilot. So in the case of scientific care, the logic is similar. Sufferers with autoimmune illnesses do not current with textbook flares; they evolve subtly, unpredictably. If we do not observe that nuance – medical adjustments, serologies, lived expertise – we danger lacking what issues. But, the psychological bandwidth it takes to doc all of this, by hand, is not any small factor. AIGP wasn’t simply born out of comfort. It is about reclaiming cognitive area, so we will suppose clinically, act decisively, and concentrate on what really adjustments 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 programs creating in-house options.
“You are completely proper. There are numerous AI scribes and documentation instruments coming into the market 1750150043. However most of them have been constructed for general-purpose transcription, retrofitted for healthcare, or developed outdoors scientific environments,” mentioned Dr Narula.
The marketplace for scientific documentation enchancment instruments could possibly be price 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 rising quantity of affected person information healthcare suppliers gather, compliance with authorities laws, and adoption of EMR/EHR programs.
A significant 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 broaden its AI scribe’s capabilities. In the meantime, huge well being programs throughout Asia, together with SingHealth in Singapore, South Korea’s largest hospital, Asan Medical Heart, and the non-public healthcare supplier group Ramsay Well being Care in Australia, have developed their very own AI-powered, ambient scientific note-taking device.
“We’re not constructing one other AI scribe; we’re constructing a scientific cognition layer,” Dr Narula maintained.
By scientific cognition layer, he implies that what they provide just isn’t a passive transcription device however “an energetic scientific assistant that thinks when it comes to illness trajectories, flare patterns, and determination assist surfacing insights that transcend what was mentioned within the session.”
That is in contrast to 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 will 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 basic practitioners in high-volume major care settings, Anzu may also be utilized by:
major care physicians and household drugs practitioners;
specialists with persistent case hundreds, reminiscent of in endocrinology, rheumatology, geriatrics;
nurse practitioners, allied well being professionals, and care coordinators;
public well being groups conducting outreach, screening, or neighborhood follow-ups.
It may also be deployed within the following settings:
outpatient clinics and polyclinics
telemedicine platforms and hybrid digital clinics
neighborhood well being centres and cell well being items
home-based persistent care applications
post-discharge care coordination items
rural well being outreach applications
“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 will be built-in into EMR programs by way of safe APIs whereas the corporate works to adjust to extensively adopted information requirements, reminiscent of HL7 FHIR.
Moreover, the Anzu co-pilot is likely one of the few AI-powered instruments educated for the Asia-Pacific healthcare setting. 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 method, which ensures well being information 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 programs are accomplished by means of 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, danger, 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, guaranteeing that AI stays assistive, not authoritative,” Dr Narula careworn.
The AIGP platform can also be aligned with Singapore’s Private Knowledge Safety Act and configurable to adjust to different jurisdictions, just like the European Union’s (EU) Basic Knowledge 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 examine 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 affect, with clinics reporting no 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 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 quite 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 docs can begin with one perform, like automated history-taking, and steadily broaden to scientific summarisation and follow-up instruments as consolation builds.”
Anzu is accessible on WhatsApp, which many clinicians are already aware of and are utilizing day by day. “This instantly lowers the barrier to entry and hastens onboarding,” Dr Narula claimed.
The assistant additionally presents transparency: it permits docs to see, edit, and approve each output earlier than they’re saved or despatched, “restoring a way of management quite than forcing a brand new workflow,” Dr Narula defined.
Furthermore, it supplies explainable AI outputs, audit trails, and clear documentation protocols.
“Our objective is to not digitise healthcare for its personal sake, however to amplify the clinician’s experience with out asking them to vary who they’re or how they suppose. The perfect 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 scientific infrastructure: purpose-built to revive cognitive area, cut back administrative drag, and allow extra exact, steady care.
“Finally, our objective is to empower any healthcare supplier burdened by documentation and follow-up, and any well being system trying 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 remaining pilots and technical validation with outpatient and GP clinics earlier than commercially launching its agentic AI-powered platform. It would even be getting ready for entry into Australia.
The corporate additionally shared that within the subsequent three years, it should search clearance from the Therapeutic Items Administration of Australia, deploy its AI resolution to major care and telehealth clinics in Singapore and Australia, broaden its utility to cowl extra persistent 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 steadily develop from clinic-level rollouts to well being network-level implementations inside regulated markets.
