Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s...
Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s SPARCS dataset in real-time
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United States: PeerJ. Ltd
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English
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United States: PeerJ. Ltd
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In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full stack, and, in particular, its configuration for application assembly by code injection. The opportunity, and need, to expand this approach has since increased markedly, reflecting a wider adopti...
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Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s SPARCS dataset in real-time
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TN_cdi_doaj_primary_oai_doaj_org_article_f60e66bef2374ebda7953aca4bf97d2d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f60e66bef2374ebda7953aca4bf97d2d
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2167-8359
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2167-8359
DOI
10.7717/peerj.6230
