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Data interoperability in healthcare is crucial for different systems and providers to exchange patient information effectively. It enhances care quality, reduces errors, and enables research. Challenges include standardizing data formats and ensuring data security. Efforts like standardizing data models and adhering to regulations are being made to address these challenges.

Improving data interoperability can lead to a more comprehensive view of patient health, better health outcomes, and the development of new treatments. Initiatives like standardized APIs, adoption of standards like HL7 and FHIR, and the use of AI are driving advancements in data exchange. The future of data interoperability in the US healthcare system will likely involve technological progress and increased use of EHRs to enhance care and outcomes.