MicromeetAI
Microware Group · HKEX: 1985
Glossary
Definition · Governance

Institution Runtime for Healthcare AI

An institution runtime is the governed layer that lets a hospital run AI workflows under its own rules. It coordinates authorized roles, human approvals, audit evidence, and controlled system connections while the HIS or EMR remains the source of record.

A point AI tool may transcribe a consultation or draft a report. An institution runtime connects those tasks to patient context, owned queues, institution standard operating procedures (SOPs), role-based access, exception handling, and accountable release. It does not replace the hospital information system (HIS), electronic medical record (EMR), laboratory information system (LIS), or payer system. Those remain systems of record, and every export or writeback path must be configured, approved, and auditable.

AI Care Command Center is Micromeet's released institution-facing workbench on the Micromeet Healthcare Agent Platform. It coordinates enabled Micromeet workflows through owned queues, human confirmation, writeback guardrails, and audit evidence. A clinic typically needs this layer when recurring work crosses roles and requires durable context, explicit approvals, exception ownership, or controlled integration. The workflows, permissions, integrations, and writeback paths available to an institution still depend on its verified implementation scope; the product is not an autonomous clinical decision-maker.

Related questions

How is an institution runtime different from a point AI tool?+
A point tool performs one bounded task, such as transcription or report drafting. An institution runtime connects multiple tasks to institution rules, patient context, role-based permissions, human approval, audit evidence, and controlled system access.
Does an institution runtime replace the hospital's HIS or EMR?+
No. The HIS, EMR, LIS, and payer systems remain systems of record. The runtime coordinates governed workflows around them and uses only integration or writeback paths that the institution has configured and approved.
Who approves healthcare AI actions in an institution runtime?+
The institution defines the approval points and authorized roles. Clinicians remain accountable for clinical decisions, while other authorized staff confirm operational actions within their assigned permissions.
When does a clinic need an institution runtime rather than a point AI tool?+
When recurring work crosses roles and needs durable context, human approval, exception ownership, audit evidence, or a controlled connection to another system. A bounded point tool may be enough for isolated exploration.

Micromeet — AI for governed healthcare. See the public benchmark →

See also