For Telehealth Providers

Remote care, with the same quality of clinical documentation

Micromeet brings AI-powered documentation and patient engagement to remote consultation platforms — so physicians can see more patients effectively, and patients stay engaged between visits.

The Challenge

What telehealth providers tell us

The shift to remote consultation solves access problems. It creates new ones around documentation quality, follow-up continuity, and language coverage.

Remote consultations generate the same documentation burden

Telehealth removes the commute, but not the paperwork. Physicians on remote platforms still spend significant time writing consultation notes, structuring follow-up instructions, and coding visits — often without the support infrastructure of a physical clinic.

Follow-up falls through the cracks

Patients who consult remotely are less likely to follow up proactively. Without structured post-consultation communication — medication reminders, result explanations, next-step prompts — care continuity suffers, particularly for chronic conditions.

Multilingual patient bases require multilingual workflows

Telehealth platforms serving Southeast Asia face a linguistic diversity that physical clinics in homogeneous areas do not. A single platform may need to operate in Indonesian, English, Mandarin, Malay, and regional languages simultaneously.

Our Approach

Two products, built for the remote care workflow

Voice-to-EMR handles the documentation layer. The Patient AI Chatbot handles patient engagement before and after the consultation. Together they are designed to let physicians focus entirely on the clinical conversation.

Voice-to-EMR (V2N)
AI clinical documentation assistant

Physicians speak naturally during or after remote consultations. V2N transcribes and structures the conversation into a SOAP note with ICD-10 code suggestions — designed to reduce documentation time by 30–50% per visit.

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  • 50+ languages including Indonesian, English, Cantonese, Mandarin, Malay, Thai, Vietnamese
  • Cantonese ASR designed to exceed 95% accuracy on internal benchmarks
  • Embeds into existing telehealth platforms via iframe or API
  • SOAP note completeness designed to exceed 90% without manual editing
Patient AI Chatbot
Pre and post-consultation AI assistant

Before a remote consultation, patients complete structured intake through WhatsApp, web portal, or LINE — so physicians can focus on meaningful clinical questions from the first minute. After the visit, the chatbot handles result explanations, medication guidance, and follow-up scheduling autonomously.

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  • Multi-channel delivery: WhatsApp, web portal, LINE, WeChat, in-app
  • Pre-consultation intake reduces time spent on basic history-gathering
  • 24/7 post-visit support with no additional staffing cost
  • 160+ minutes saved per day observed in high-volume endocrinology pilot
Platform Design

Built for Southeast Asian healthcare realities

Our technology choices reflect the linguistic, regulatory, and infrastructure realities of delivering care across Indonesia, Hong Kong, Singapore, and the broader region.

Multilingual by design

Our ASR engine supports 50+ languages, with particular depth in the Southeast Asian language landscape — Indonesian, Malay, Thai, Vietnamese, Filipino, Tamil, and Hindi — alongside Cantonese, Mandarin, and English.

Channel-agnostic patient engagement

Patients communicate on the platforms they already use. The chatbot delivers the same structured experience whether a patient is on WhatsApp in Jakarta, WeChat in Shanghai, or a web portal in Hong Kong.

Human-in-the-loop by default

All AI outputs — documentation, intake summaries, follow-up messages — are designed to be reviewed and overridden by clinical staff. AI handles the administrative volume; clinical responsibility stays with the physician.

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Integrate with your platform

Both Voice-to-EMR and the Patient AI Chatbot are designed for API integration. Reach out to discuss technical requirements, language support, and deployment timelines.