What Is Interoperability in Healthcare?
Health data has always been challenging to access and share in a secure manner. The nature of health data creates a paradox: It’s difficult to share because it’s sensitive and requires a high level of privacy and security, yet the inability to access it when it’s needed has potential to cause significant harm. A lack of interoperability can result in an incomplete understanding of an individual’s or population’s health needs, which can lead to poorer outcomes and higher costs.
As populations around the world age and people live longer, interoperability and data sharing are going to become increasingly critical for delivering effective healthcare. In the United States, the Agency for Healthcare Research and Quality has estimated that two out of three older Americans have at least two chronic behavioral or physical conditions. Treatment for people with multiple chronic conditions currently accounts for an estimated 66% of US healthcare costs.
In their nationwide roadmap, the Office of the National Coordinator for Health Information Technology (ONC) says the use of electronic health records (EHRs) has dramatically increased in the United States. Many hospitals now have routine access to medical records and patient data from outside providers, yet less than half of hospitals are integrating the data they receive into individual patient records. So although access to vital clinical data has improved, there’s still a lot of work that needs to be done to bring stakeholders together to create an integrated data ecosystem.
In addition to helping physicians and other healthcare providers see a more complete view of their patients, health data interoperability helps organizations across the healthcare industry. If health information systems were more integrated, then health plans would be able to develop a better understanding of their utilization rates and demand for services. Government service providers would be able to access population data to see trends and meet their citizens’ needs. Also, life science organizations would be able to leverage robust datasets to drive faster, more informed research.
With better interoperability, organizations would be able to stop regarding individuals as a patient one day, a health plan member the next and a consumer of health apps the next. Instead, decision-makers across the industry would be able start looking at how people access and use health information, regardless of its source, to drive better models of care, pursue better patient safety and improve experiences for the people they serve.
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