Is patient data safe with a healthcare AI vendor?
Patient-data safety cannot be inferred from a vendor name or certificate. It depends on the data flow, deployment, access, safeguards, subprocessors, operations, and contract. Verify evidence for the exact service and scope you will use.
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 explanationStart with a deployment-specific data-flow review: what data is collected, why it is needed, where it is processed and stored, who can access it, which subprocessors and support teams are involved, and whether it crosses borders. Then assess identity and access controls, encryption and key management, vulnerability management, logging and audit integrity, backup and recovery, incident response, retention and deletion, and independent assessments within their stated scope.
Security is shared across the institution, vendor, infrastructure providers, and users. A certificate can support due diligence but does not prove that every product, location, or configuration is covered or that no incident can occur. For Micromeet, the institution should request the evidence and contractual commitments for the proposed deployment, including data locations, subprocessors, access, retention, and audit availability. Clinical safety is a separate control: authorized clinicians retain clinical judgment and approve the outputs identified by the institution's workflow.