Micromeet AI
AI Infrastructure for Healthcare Delivery
A practical healthcare AI platform for institutions that need higher service capacity, safer documentation, stronger patient continuity, and auditable clinical workflows.
美高域集團 / Microware Group
Hong Kong Enterprise IT Leader Since 1985
Founded in 1985, Microware Group is Hong Kong's trusted IT infrastructure partner, supporting enterprise and public-sector transformation with secure, scalable delivery across the region.
Healthcare Is the Focus of This Deck
Microware has multiple AI product lines. This deck focuses on Micromeet AI for healthcare, while Microcraft and Compliance AI are supporting capabilities.
Micromeet AI
Clinical AI applications for institutions: MCU CoPilot, Voice to Notes, Care Loop, Claim Solver, and AI CRMS operations.
Microcraft
Shared enterprise AI capabilities for document automation, internal knowledge workflows, and team productivity.
Compliance AI
Governance and compliance layer for policy control, auditability, and regulated process requirements.
What Makes This Deployable in Hospitals
Hospital Knowledge Copilot
CRMS Workflow in Plain Language
Five Product Layers
A decision-maker view: start with visible service bottlenecks, then connect operations, governance, care continuity, and deployment readiness.
Layer 1 · Frontline Applications
High-pressure workflows where institutions feel cost, quality, access, and patient-continuity pressure (Slides 6-9).
Layer 2 · Hospital Knowledge
Verified medical sources and institution knowledge that can be reused safely across teams (Slide 10).
Layer 3 · AI CRMS and Team Operations
The operating command layer for patient records, work queues, service conversion, and accountability (Slides 11-14).
Layer 4 · Cross-Institution Care Coordination
Connects records, referrals, and care interactions across hospitals, primary care, doctors, and patients (Slides 15-16).
Layer 5 · Deployment and Infrastructure
Cloud, hybrid, and on-premise controls required for regulated clinical environments (Slide 17).
MCU CoPilot
From weeks to minutes: doctor-governed report generation that raises MCU report quality, team efficiency, service capacity, and patient satisfaction.
Leadership Priorities
Institution Value
| Turnaround | From weeks to minutes against baseline |
| Report quality | Standardized structure, doctor review, exception checks |
| Capacity ceiling | More reports and corporate clients without linear HC growth |
| Post-report value | Risk stratification, company reports, Care Loop handoff |
Voice to Notes
Efficient, high-quality medical records: helps doctors produce standardized electronic records faster while institutions keep clinical governance.
Two Value Pillars
Operational Value
| Doctor efficiency | Less time spent on writing |
| Institution efficiency | Faster record completion and fewer handoff gaps |
| Record quality | Standardized structure and doctor-reviewed content |
| Patient value | Clearer summaries, follow-up, referral context |
Patient Management (Care Loop)
Turns every report or consultation into a governed patient-management pathway, so institutions do not lose patients after the encounter.
Product Scope
Leadership Value
| Patient continuity | Fewer lost follow-ups after reports and visits |
| Risk management | High-risk patients are routed to next actions |
| Institution receiver | Queues for booking, doctor review, and patient-management teams |
| Long-term value | Recheck, consultation, referral, chronic-care management |
Claim Solver
Reduces claim rework by turning clinical records into review-ready claim context.
Institution / Payer Pressure → Governance Support
| Leadership Pressure | Governance Support |
|---|---|
| High claim volume | Priority queues for reviewer focus |
| Incomplete evidence | Submission-readiness checks before escalation |
| Coding variability | ICD / procedure suggestions for human confirmation |
| Risk management | Risk flags with reasons for human review |
| Auditability | Claim-ready package with traceable evidence |
Workflow Coverage
Institution Knowledge Copilot
A governed medical knowledge layer turns guidelines, literature, institutional protocols, historical corrections, and de-identified cases into reusable structures for doctors, teams, and agents.
Source-Grounded Clinical Answers
Answers are assembled from approved sources and linked back to guidelines, literature, policies, and institutional references.
Institution Knowledge Structuring
Protocols, report logic, templates, and historical doctor corrections become searchable, callable knowledge assets.
Doctor-Readable Briefs
Key findings, interpretation context, and recommended next-step scaffolds are packaged for clinical review.
Training and Specialty Pathways
Specialty cards, question banks, and pathway materials support resident training, affiliate clinics, and primary-care teams.
Governance by Design
De-identification, scoped access, source traceability, and approval checkpoints control clinical use.
AI CRMS
The operations command layer that makes patient records, queues, booking continuity, service conversion, and audit visible to management.
Institution Operating Model
Core Capabilities
Reusable AI Capabilities for Institutions
The same AI foundation supports documentation, reports, patient management, claims, and management visibility without rebuilding each workflow from zero.
Source-Grounded Answers
Clinical and operational answers remain linked to approved knowledge, policies, and institution references.
Voice to Notes
Consultation speech becomes structured, doctor-reviewed electronic medical record content.
Document Digitisation
Paper reports, attachments, and legacy documents become structured inputs for review and follow-up.
Medical Translation
Cross-language clinical content keeps medical terminology and institutional wording consistent.
Collaborative Records
Doctors, nurses, front desk, and operations teams can work from shared, versioned records.
Secure Integration
Role-based access, audit logs, and controlled system links keep deployment accountable.
Governance and Operating Architecture
Decision makers need AI workflows that can be controlled, audited, and scaled across teams, not isolated tools that create new risk.
Controlled Execution Path
Control Plane & Deployment
Institution Workflow Coverage
Shows where AI connects to daily service operations without replacing existing hospital systems.
Service Workflows to Improve
Clear owner
Next action
Micromeet Operating Support
Leadership Implementation Principles
Institution Value Model
Service Capacity
Quality & Governance
Continuity & System Value
Value Measurement Discipline
Each pilot should agree on a small set of measurable indicators: turnaround time, doctor review rate, queue backlog, high-risk follow-up, claim rework, patient return actions, and audit completeness.
Your Healthcare AI Transformation Path
Start with official entry-point products, then connect hospital knowledge, AI CRMS operations, cross-institution coordination, and deployment readiness.
Deployment Foundation for Regulated Healthcare
The five product layers can be deployed in cloud, hybrid, or on-premise models, with data control, security, service resilience, and procurement needs agreed institution by institution.
Data Sovereignty
Cloud / Hybrid / On-Premise
AI Compute Capacity
Secure Hospital Network
Clinical Storage & Backup
Service Resilience
Decision Patterns from Active Engagements
High-Volume Checkup Operator — MCU CoPilot
Leadership issue: multi-week report backlog limits employer reporting, abnormal-result follow-up, and population-health visibility.
Insurance / TPA Operations — Claim Solver
Leadership issue: inconsistent evidence, coding context, and document completeness create avoidable claim rework before submission.
Institutional Care Network — AI CRMS + Care Loop
Leadership issue: referrals, patient context, and post-visit actions are fragmented across departments, institutions, and patient-management teams.
All client identities anonymised per disclosure policy. Case details reflect signed, active, or discussed engagements.
Start with a Focused Pilot
Clinical AI Platform for Healthcare Providers Worldwide
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