Interoperability is the ability of healthcare systems to exchange, interpret, and use data across organizations, applications, and workflows. For AI tools, interoperability affects whether the product can access relevant data and return outputs without manual copy-paste.
Evaluation should cover data rights, mapping, provenance, timeliness, data quality, patient matching, and operational monitoring.
Application scenario: In workflow review, this term helps teams map a vendor claim to the care setting, data flow, integration point, user handoff, and oversight step where it applies. Procurement impact: Buyers should evaluate evidence, interoperability effort, security and privacy controls, pricing assumptions, support, and compliance responsibilities before shortlisting or contracting for a tool that depends on this capability.