In recent years, clinical documentation improvement tools have increasingly become a staple companion for doctors.
This assistive tool, which is helping address clinician burnout, has evolved from just automating transcriptions during clinical encounters or consultations to also being capable of ambiently listening in the background and providing smart recommendations, all powered by AI.
The adoption of smarter, more accurate clinical documentation tools – popularly called digital or AI scribes – has grown over the past two years amid the rave over generative AI.
Now, as AI developers are working on a newer form of AI – agentic, which is capable of acting on its own – it is highly likely that clinical documentation would be one of the emerging AI’s first use applications.
And indeed, a squad of Singaporean doctors is already making this happen.
AIGP Health, a startup founded by four doctors in Singapore, offers an agentic AI-powered clinical assistant that also functions as a real-time copilot supporting clinical judgment. In their words, they said the AI engine, called Anzu, autonomously initiates structured history taking, triage, and patient follow-up before a clinician picks up a case.
The AI assistant, deployed via web and WhatsApp mobile application, passively listens before and during a patient consultation, processes structured and unstructured clinical input, and then generates “accurate, audit-compliant, and context-aware” consultation notes.
Besides improving notes completeness, Anzu reportedly reduces clinical documentation time “by up to 40%” and “surfaces critical patterns that manual workflows often miss.”
A solution to clinicians’ frustrations
In an interview with Mobihealth News, each of the AIGP founders detailed how they started seeking an AI-powered solution to an all-too-familiar struggle among health professionals: time taken away by administrative tasks.
“In emergency settings, every minute matters. Yet, I often spent as much time documenting cases as I did treating them. It’s frustrating when documentation takes precedence over patient presence. I’ve seen how this delay affects triage accuracy, discharge planning, and follow-up adherence. AIGP Health was born from this urgency – to give that time back.”
Dr Nicholas Chia, CEO, emergency medicine specialist
“As a primary care physician, I’d spend 15-20 minutes per patient – of which 30%-40% went to notes, summaries, and follow-up scheduling. That’s time I didn’t have to listen deeply or personalise care. Worse, patients with complex chronic conditions often slipped through. This tool gives us the space to be clinicians again, not just data entry operators.”
Dr Prateet Singh Narula, Medical Lead, primary care and chronic disease specialist
“I’ve worked on the frontline and in AI labs. The disconnect was clear: tools were being built without clinical reality in mind. That’s why our assistant was designed not just to function, but to fit. We focused on creating an AI that doctors trust and that learns from real-life usage. It’s not just about reducing workload; it’s enabling better, faster decisions.”
Dr Yudara Kularathne, CTO, emergency physician and AI Expert
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