In recent years, clinical documentation improvement tools have become a staple diet for doctors.
This support tool, which helps clinicians deal with burnout, evolved from automating transcription during clinical encounters and consultations, allowing them to listen to those around them in the background and provide smart recommendations that are all AI-powered.
The adoption of smarter, more accurate clinical documentation tools (commonly referred to as Digital or AI Scribes) has grown over the past two years amid awards surrounding generator AI.
Currently, AI developers are working on a new form of AI-agent that can act on its own, so clinical documentation is likely to become one of the first applications to use emerging AI.
And in fact, a team of doctors in Singapore has already done this.
AIGP Health, a startup founded by four Singaporean physicians, offers clinical assistants powered by Agent AI, who also serves as real-time co-pilots to support clinical decisions. In their words, they said an AI engine called anzu, Start autonomously Structured history, triage, and patient follow-up before clinicians pick up cases.
Deployed via the web and WhatsApp mobile application, AI assistants passively listen before and after patient consultations, process structured, unstructured clinical input, and generate consultation notes that are “accurate, audit-compliant, and context-aware.”
In addition to improving note integrity, Anzu reportedly reports that clinical documentation time is “up to 40%” and “surface important patterns that manual workflows often overlook.”
Solutions to clinician frustration
In an interview with Mobihealth Newseach of the founders of AIGP detailed how they began to look for AI-driven solutions to struggles that are too familiar to health professionals.
“It's important every minute in an emergency setting. Still, I spent as much time documenting as much as I treated them. It's frustrating when documents take priority over patient presence. We have seen how this delay affects triage accuracy, discharge planning, and follow-up adherence. AIGP's health was born out of this urgency.
Dr. Nicholas Cheer, CEO of emergency medical specialist
“As a primary care physician, I spent 15-20 minutes per patient, of which 30%-40% went to scheduling notes, summaries and follow-up. At the time, I didn't need to listen deeply or personalize. What's worse, patients with complex chronic conditions often slip away. It's not just the data entry operator. ”
Dr. Platet Singh Narra, Medical Lead, Primary Care, Chronic Disease Expert
“I've been working on the frontlines and the AI labs. The cutting was clear. The tools were built without the clinical reality in mind.. So the assistant was designed not only to work, but also to fit. We focused on creating AI that doctors trust and learn from real-world use. It's not just about reducing workloads. It allows for better, faster decisions. ”
Dr. Yudara Kulalathne, CTO, emergency physician, AI expert
“As a part-time master's degree in clinicians, startup founders, science students, patient advocates and parents, I had to adopt an AI-first mindset. From research, team workflows to structuring my own learning, AI has become my co-pilot. Predictively, we risk losing that nuance, serology, and we risk losing what is important. It's about regaining cognitive spaceso we can focus on what we think clinically, act decisively, and actually change the outcome. It's our previous patient. ”
Dr. Anindita Santosa, Product Development, Primary Care, Rheumatology
It's not another ai scribe
The market is already flooded with a variety of options in clinical documents (including those with AI incorporating them), and some healthcare systems are developing internal solutions.
“You're absolutely right. There are many AI scribes and documentation tools to enter the market. 1750133333. But most of them were built for general purpose transcription, modified for healthcare, or developed outside the clinical setting,” says Dr. Narla.
The market for clinical documentation improvement tools was worth more than $10 billion by 2034, up from around $5 billion today. Latest predictions. This growth will be driven by the collection of patient data, compliance with government regulations and the increased adoption of EMR/EHR systems.
The main players in this field are The nuance of Microsoft's complete acquisition in 2022. In the Asia-Pacific region, Heidi Health, a native of Melbourne, Australia, is gaining popularity. The startup recently raised $17 million in investments to further expand AI Scribe's capabilities. Meanwhile, large health systems across Asia, including Singapore's SingHealth, which includes Korea's largest hospital, Asan Medical Centre, and Australia's private health provider group Ramsay Health Care, have developed a surrounding clinical note-taking tool powered by its own AI.
“We're not building another AI scribe, we're building a clinical cognitive class,” Dr. Narla maintained.
With the clinical cognitive group, he means that what he offers is not a passive transcription tool, but an active clinical assistant who thinks in terms of disease trajectories, flare patterns, and decision support that surfaces insight beyond what was said in consultations.
This differs from existing clinical documentation tools for general speech to text-to-text wrapped in template soap format, he added.
AIGP also plans to develop a hybrid architecture that supports edge processing on devices for privacy-sensitive consultation, low latency, and offline resilience. This is something cloud-only scribes have not yet done.
He further described “redefining what an assistant is – an intelligent co-pilot who restores clinical focus, increases patient continuity, and adapts to context, care and clinical integrity to real-world health care challenges.”
Initially designed for general practitioners in a large amount of primary care settings, ANZU can also be used:
-
Primary care physicians and family medicine practitioners.
-
Experts with chronic case loads, including endocrinology, rheumatology, and geologists.
-
Nurses, Alliance Medical Professionals and Care Coordinators.
-
Public health teams that conduct outreach, screening, or community follow-up.
You can also expand to the following settings:
-
Outpatient clinics and polyclinics
-
Telemedicine Platforms and Hybrid Digital Clinics
-
Community Health Centres and Mobile Health Units
-
Home-based chronic care programs
-
Post-discharge care adjustment unit
-
Rural Health Outreach Program
“Anzu is designed to be platform-dependent and accessible via low-variable interfaces like WhatsApp, so it adapts to both high-tech forward urban health systems and resource-constrained environments,” says Dr. Narula. For now, AI assistants can integrate into EMR systems via secure APIs, but the company is working to comply with widely adopted data standards such as the HL7 FHIR.
Additionally, ANZU co-pilots are one of the few AI-powered tools trained for the Asia-Pacific medical environment. It provides support for multilingual and code switch for localized care, providing local document style and consistency with local billing workflows.
Not supportive or authoritative
AIGP explained that its platform is built by design per privacy and design per default.
It comes with end-to-end encryption, role-based access and a secure audit trail. Connecting with external systems is done through secure, authenticated API integration using strict token-based access and data isolation protocols. Additionally, explicit permission is required to enable third-party systems to access patient data.
Meanwhile, its natural language processing system includes confidence scoring to the clinician, escalation triggers, and automatic handover to the clinician when ambiguity, risk, or incomplete input is detected.
“Anzu does not act autonomously in clinical decisions. All outputs are reviewed, approved or edited by the clinician, and recorded or actioned to ensure that AI remains supportive rather than authoritative,” emphasized Dr. Narula.
The AIGP platform is also consistent with Singapore's personal data protection law and can be configured to comply with other jurisdictions, such as the European Union's General Data Protection Regulations.
Additionally, startups will pursue voluntary SOC 2 cybersecurity certification for “future prevention of scale and policy requirements.”
AIGP has completed pilot studies at two primary care clinics, with early feedback from clinical staff being “very positive” especially on workflow efficiency and ease of integration.
“The initial results show measurable impacts, with clinics reporting a reduction of at least 10% of the time spent on daily documentation and administrative tasks,” Dr. Narla shared.
Get closer to change
Promoting the intake of many digital and technical tools within a digital transformation can surprise and overwhelm doctors, especially those who are not digitally savvy.
“We understand that many senior doctors are not resistant to innovation. They resist complexity. Most people experience technology that is not overly promoted, and often add more steps to their workflows rather than removing them,” says Dr. Narla.
“Doctors don't need any more dashboards. They need more time,” he emphasized.
With the AI-powered clinical co-pilot, AIGP says it will take a modular approach to adoption. “Advanced physicians can start with one feature, such as automated history taking, and gradually expand into clinical summary and follow-up tools as a comfortable build.”
ANZU is available on WhatsApp. WhatsApp is already used to by many clinicians and uses it every day. “This will quickly reduce the barrier to entry and speed up onboarding,” Dr. Narla argued.
The assistant also provides transparency. Doctors can view, edit and approve all output before saving or sending “recovering a sense of control rather than forcing a new workflow.”
Additionally, it provides explanatory AI output, audit trail, and clear document protocols.
“Our goal is not to digitize healthcare for itself, but to amplify clinician expertise without asking who they are or how they think. The best technology is the kind that quietly supports them without getting in the way.
“We think of AI as a clinical infrastructure, not an add-on. It is dedicated to restoring cognitive space, reducing management resistance, and enabling more accurate and continuous care.
“Ultimately, our goal is to empower healthcare providers who are under the burden of documentation and follow-up, and health systems that are considering scaling personalized care. Without scaling burnout“Dr. Narra said.
Over the next 12 months, AIGP plans to ensure clearance of the Singapore Health Sciences Bureau's regulatory authority, and perform technical verification at the final pilot and outpatient and GP clinics before commercializing the platform with agent AI. In addition, preparations will be made to enter Australia.
The company also shared that over the next three years, it will seek clearance from the Australian Department of Treatment Products, deploy AI solutions to primary care and telehealth clinics in Singapore and Australia, expanding its applications to cover more chronic care and document use cases, and pursuing a safer integration with third-party EHRS. The company is also looking to obtain CE markings from the EU.
AIGP also hopes to gradually grow from clinical level deployment to health network level implementation within a regulated market.
