Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare

Storing very large amounts of data and delivering them to researchers in an efficient, verifiable, and compliant manner, is one of the major challenges faced by health care providers and researchers in the life sciences. The electronic health record (EHR) at a hospital or clinic currently functions...

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Autores principales:	Stephen K Woody, David Burdick, Hilmar Lapp, Erich S. Huang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/2a2721196f034ec7af50bd8dcfdafce3
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spelling	oai:doaj.org-article:2a2721196f034ec7af50bd8dcfdafce32021-12-02T13:34:33ZApplication programming interfaces for knowledge transfer and generation in the life sciences and healthcare10.1038/s41746-020-0235-52398-6352https://doaj.org/article/2a2721196f034ec7af50bd8dcfdafce32020-02-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0235-5https://doaj.org/toc/2398-6352Storing very large amounts of data and delivering them to researchers in an efficient, verifiable, and compliant manner, is one of the major challenges faced by health care providers and researchers in the life sciences. The electronic health record (EHR) at a hospital or clinic currently functions as a silo, and although EHRs contain rich and abundant information that could be used to understand, improve, and learn from care as part learning health system access to these data is difficult, and the technical, legal, ethical, and social barriers are significant. If we create a microservice ecosystem where data can be accessed through APIs, these challenges become easier to overcome: a service-driven design decouples data from clients. This decoupling provides flexibility: different users can write in their preferred language and use different clients depending on their needs. APIs can be written for iOS apps, web apps, or an R library, and this flexibility highlights the potential ecosystem-building power of APIs. In this article, we use two case studies to illustrate what it means to participate in and contribute to interconnected ecosystems that powers APIs in a healthcare systems.Stephen K WoodyDavid BurdickHilmar LappErich S. HuangNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-5 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Stephen K Woody David Burdick Hilmar Lapp Erich S. Huang Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
description	Storing very large amounts of data and delivering them to researchers in an efficient, verifiable, and compliant manner, is one of the major challenges faced by health care providers and researchers in the life sciences. The electronic health record (EHR) at a hospital or clinic currently functions as a silo, and although EHRs contain rich and abundant information that could be used to understand, improve, and learn from care as part learning health system access to these data is difficult, and the technical, legal, ethical, and social barriers are significant. If we create a microservice ecosystem where data can be accessed through APIs, these challenges become easier to overcome: a service-driven design decouples data from clients. This decoupling provides flexibility: different users can write in their preferred language and use different clients depending on their needs. APIs can be written for iOS apps, web apps, or an R library, and this flexibility highlights the potential ecosystem-building power of APIs. In this article, we use two case studies to illustrate what it means to participate in and contribute to interconnected ecosystems that powers APIs in a healthcare systems.
format	article
author	Stephen K Woody David Burdick Hilmar Lapp Erich S. Huang
author_facet	Stephen K Woody David Burdick Hilmar Lapp Erich S. Huang
author_sort	Stephen K Woody
title	Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
title_short	Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
title_full	Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
title_fullStr	Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
title_full_unstemmed	Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
title_sort	application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/2a2721196f034ec7af50bd8dcfdafce3
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Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare

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