Healthcare leaders argue continuity of care depends on robust interoperability that enables seamless patient data exchange across settings. Standards-based APIs, FHIR adoption and health information exchanges are identified as foundational for sharing EHR records, imaging, device telemetry and social determinants data. Without consistent interfaces, governance and vendor cooperation, transitions among hospitals, primary care and post-acute providers remain fragmented, increasing risks of medication errors, redundant testing and care gaps.
Interoperability is also pivotal to deploying AI safely and effectively: comprehensive, standardized datasets power predictive models, clinical decision support and remote monitoring, while fragmented data produce biased or unreliable outputs. Experts call for integrating AI into interoperable workflows with clear privacy controls, validation frameworks and clinician feedback loops. Policymakers and vendors must invest in standards, APIs and governance to scale ML-driven diagnostics, population health analytics and real-time alerts that sustain continuity of care.
