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When using LLMs in healthcare, semantic interoperability is key
As you build a strategy for leveraging large language models (LLMs) to support healthcare initiatives, don’t overlook the critical role of semantic interoperability.
Interoperability in healthcare involves the exchange of patient data between systems for use by clinicians who need it to make decisions. Here, we take a look at Health Level Seven International (HL7), a nonprofit organization that develops the common standards that make this data exchange possible.
Increased interoperability in healthcare – specifically, the sharing of electronic health data between systems – can be an enormous help for clinicians. But as federal rules are put into action, clinicians may soon be facing too much of a good thing.
CMS is asking payers and providers to adopt FHIR standards to improve interoperability in healthcare. Get up to speed on FHIR with these FAQs.
Increasing interoperability in healthcare is a positive step – but one that requires paying attention to patient privacy issues.
Interoperability in healthcare is a challenge – particularly for medication data. Learn the basics behind documenting this aspect of the patient encounter.
As the COVID-19 pandemic continues to impact daily life, addressing interoperability in healthcare is critically important. So, we pored over the most recent legislation on the topic – the 21st Century Cures Act – and learned about the new responsibilities payers have in healthcare interoperability. Read a snippet of our summary below.
Health information exchanges (HIEs) are key players in the goal of streamlining initiatives for interoperability in healthcare. But as the number of sources of patient data grows, standardizing information often requires the help of a normalization solution.
