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.
Put the evidence in context
Review the intended task, source information, human checkpoints and observed results together. A benchmark or sandbox result has a defined scope; it does not establish suitability, approval or performance for every institution.
Read the full explanationCare Workspace connects healthcare work such as appointments, reviewed reporting and follow-up. Micromeet Cowork supports team work with digital employees and reusable Skills, including meeting summaries, decisions and task handoffs.
Read the full explanationA 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.
Micromeet Care Workspace is Micromeet's 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.