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Interoperability enables the sharing and exchanging of electronic health records (EHRs), allowing providers to obtain a complete picture of their patients.
FREMONT, CA: Interoperability is critical to data analytics and seamless care collaboration. Interoperability is the capability of devices and systems to exchange and use electronic information from other devices and systems without the user exerting any extra effort. Interoperability in healthcare, also known as healthcare data interoperability, means using technologies to make data sharing more efficient for personalized care and population health management.
It jeopardizes patient safety, contributes to physician burnout, and wastes billions of dollars each year.
The healthcare ecosystem's most significant missed opportunity is a lack of interoperability. The healthcare innovation community is faced with multiple data access, integration, and interoperability hurdles. Often, innovators avoid healthcare because establishing interoperability in healthcare is challenging.
The healthcare industry has made considerable progress in educating providers about interoperability, but much work remains as the healthcare system faces the challenges posed by the COVID-19 pandemic.
While ONC interoperability standards, CMS policies such as the CMS Interoperability & Patient Access Rule, and the growing adoption of new electronic data standards such as HL7 FHIR help advance healthcare data interoperability, these are just the first steps. The overall objective remains unchanged: to integrate all facets of the patient experience, allowing better patient decisions to be made and better outcomes to be delivered.
Bidirectional data exchange is the primary mechanism for success in today's health interoperability ecosystem. Although data exchange standards are macro-scalable, healthcare provider connectivity differences are an eternal challenge.
As regulators pressure providers and payers to improve outcomes and quality while lowering costs, data interoperability is an uphill battle for the majority. There are still many questions concerning how to get data accuracy and completeness and define interoperability standards. Additional, different performance metrics and differing coding and reporting requirements complicate interoperability. but the benefits of scalable data sharing overcome any drawbacks
Payers work hard to obtain complete and accurate data. Having correct data in place at the right time can help ensure payers and providers have the information they need. For example, precise diagnosis, combined with computer-assisted coding, and patient insights such as natural language processing and medical machine learning, will help expedite this initiative. In addition, real-time data exchange between payers and providers enables better quality of care and greater efficiency in delivery.
As new technologies are developed, healthcare interoperability will improve. Clinical data must freely flow throughout the healthcare industry to progress. To meet these demands, healthcare institutions need systems and software applications that work efficiently and securely while adhering to the latest standards of healthcare data interoperability.
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