The application programming interfaces are gaining a lot of attention in healthcare as all the developers start seeking simple, standard-based solutions for their interoperability problems. All the healthcare organizations that are looking to create interoperability between the internal app and EHRs and all the other data exchange tools have started using the application programming interfaces to manage all the flow of information.
Importance of API in Healthcare
API is especially important
to decrease development time for applications that function by pulling a
constant stream of data from one or more sources. It should save storage space
too on endpoint devices. It helps overcome any differences in the standards or
programming languages used to create the data that lives at either end of the
bridge. As the API is a standardized gateway to the airline’s schedule and
pricing data, other companies like Expedia or Kayak do not have to develop a
dozen different methodologies tailored to each airline before they can
establish communications. This helps them eliminate the need for travel
comparison sites to duplicate every dataset, create new data.
Healthcare organizations face
several challenges like accessing and sharing data. This problem increase in
healthcare organizations as the IT infrastructure migrates to the cloud and
then becomes digital information in the industry standard. There are different
types of datasets that use different formats which makes interoperability
between apps challenging. APIs are the points of communication between systems
and they are being developed to simplify interoperability to provide healthcare
professionals and users data with more efficiency.
Relevance of API in Healthcare
The point to be highlighted
is that HL7 is currently developing the Fast Healthcare Interoperability
Resource data standard which will provide a standardized way to aggregate and
merge patient health data from separate data sources. FHIR creates a standard
way to make it easier for healthcare professionals to use and share clinical
data by restructuring healthcare data from different sources into a compatible
format for easy access.
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Read Also:
http://projects.umwhistory.org/cwh/myomeka/posters/show/24467
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