The governed AI layer your clinic runs on
Micromeet can be configured on top of the systems your clinic already uses for approved medical check-up, multilingual documentation, and follow-up workflows. Consequential outputs remain under human review, and enabled scope is verified for each clinic.
Where care and continuity break down
Clinics juggle documentation, multilingual patients, and follow-up across disconnected tools — so time leaks and patients fall out of care after the visit.
Documentation eats clinical time
Industry research estimates that physicians spend up to 60% of their working time on administrative tasks — writing notes, generating reports, and managing paperwork — rather than seeing patients.
Multilingual patients, limited staff
Clinics in diverse urban settings routinely serve patients who speak Indonesian, English, Mandarin, or other regional languages. Coordinating accurate communication across language barriers strains staff and slows consultations.
Patients drop off after the visit
Without structured follow-up, report explanations and recheck ownership, patients can drop out of the intended care path after a visit. Each clinic should measure its continuity and operational baseline before selecting a workflow.
Configured clinic workflows on a governed runtime
Supported consultation, checkup and follow-up workflows can use approved patient context in AI Care Command Center where the clinic has enabled and verified the required routes. The clinic's source systems and access rules remain authoritative.
AI Scribe is being validated to transcribe supported clinical conversations, prepare SOAP note drafts, and suggest ICD-10 codes for doctor review. Exact languages, performance and integration scope are verified per implementation.
Learn More- 50+ languages including Indonesian, English, Cantonese, Mandarin, Malay
- Cantonese ASR performance measured on the institution's approved test set
- Institution-verified HIS/EMR path, where enabled
MVP workflows prepare response drafts, intake and booking requests on supported channels. Staff approve patient-facing messages, confirm bookings and verify the record before clinical use.
Learn More- Inbound questions, intake and booking prep across WhatsApp, web and in-app
- Routes configured requests into staff-owned reception queues
- Hands approved intake to supported downstream workflows where enabled
Care Loop is an MVP being validated to prepare report-explanation drafts and follow-up, recheck, referral or booking requests for human-owned queues. Patient-facing content and next steps require assigned staff or clinician review.
Contact Us- Draft report explanations and follow-up, recheck, referral or booking requests
- Requests organized into owned queues for assigned staff or clinician review
- Supported WhatsApp, web and LINE scope verified per institution before use
Structured checkup report drafts from configured inputs, with physician review and approval before release. Any Care Loop handoff, timing, and volume are verified for the clinic's implementation.
Request a Pilot- Configured field mapping and institution-approved reporting rules
- Doctor review preserved — AI generates, physician approves
- Doctor-approved next steps can enter configured Care Loop queues where enabled
AI Care Command Center can coordinate approved context, owned queues and status for supported workflows the clinic enables across selected doctors, sites or remote visits. Coverage is verified per implementation.
Learn More- Role-controlled approved context from enabled clinic workflows
- Booking, intake and follow-up queues with human approval
- Institution-verified routes to existing systems; source records remain authoritative
Evaluate connected care beyond the visit
A scoped pilot can evaluate selected connected-device inputs, doctor-reviewed preparation and structured follow-up for an institution-approved program. Clinical coverage, review timing, capacity and commercial outcomes are measured in the pilot, not promised.
Candidate smart-ring, ambulatory-ECG, CGM, urine and POCT inputs are evaluated against the program, clinical protocol and institution-verified connection path before use.
A pilot can assess whether selected POCT or wearable inputs fit a defined cardiac, metabolic or renal screening workflow. Cost, coverage and laboratory-routing effects require institution-specific measurement.
Any between-visit monitoring service needs an approved clinical protocol, assigned review capacity and a verified reimbursement or commercial model. Revenue is not a product outcome.
Cardiac, diabetes or other condition workflows are scoped as validation programs with selected inputs, clinician-owned decisions and explicit follow-up responsibilities.
Ready to see it in your clinic?
Our team will walk you through the product and help you identify the highest-impact starting point for your specific workflow.