Design & development of customizable web API for interoperability of antimicrobial resistance data

Abstract Antimicrobial resistance (AMR) is a global health emergency. Complementary to developing new drugs, AMR can be monitored and controlled through cost-effective active surveillance of resistance. As an initiative to monitor resistance, countries all across the globe are collecting data using...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jasleen Kaur, Jasmine Kaur, Shruti Kapoor, Harpreet Singh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d6195726911f4ccba255f974fdda6d66
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d6195726911f4ccba255f974fdda6d66
record_format	dspace
spelling	oai:doaj.org-article:d6195726911f4ccba255f974fdda6d662021-12-02T15:49:39ZDesign & development of customizable web API for interoperability of antimicrobial resistance data10.1038/s41598-021-90601-z2045-2322https://doaj.org/article/d6195726911f4ccba255f974fdda6d662021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90601-zhttps://doaj.org/toc/2045-2322Abstract Antimicrobial resistance (AMR) is a global health emergency. Complementary to developing new drugs, AMR can be monitored and controlled through cost-effective active surveillance of resistance. As an initiative to monitor resistance, countries all across the globe are collecting data using a variety of surveillance tools. Moreover, hospitals routinely collect the AMR data for treatment which is being stored in their Laboratory and Hospital Information systems (LIS-HIS). The generated clinical data is collected & stored in various formats, making it very difficult to analyze and generate national reports. To integrate the stored clinical data for predictive modeling and analysis, there is an immediate need for a one-stop data repository capable of importing and exporting data in simple data exchange formats (CSV/Excel). The paper highlights the design & development of i-DIA, a python-based web API to facilitate the interoperability of AMR data by automatically importing the bulk of medical data from CSV files into generic data management and analysis system. The i-DIA has been integrated and tested with the ICMR’s AMR surveillance network on in-house developed software, i-AMRSS. The i-AMRSS is presently collecting data from 31 laboratories across India and i-DIA has been used to import data generated from LIS & HIS of a few hospitals directly into the system. The paper also proposes the complete web-based framework (an extension of i-DIA) integrated with peer-to-peer system architecture.Jasleen KaurJasmine KaurShruti KapoorHarpreet SinghNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jasleen Kaur Jasmine Kaur Shruti Kapoor Harpreet Singh Design & development of customizable web API for interoperability of antimicrobial resistance data
description	Abstract Antimicrobial resistance (AMR) is a global health emergency. Complementary to developing new drugs, AMR can be monitored and controlled through cost-effective active surveillance of resistance. As an initiative to monitor resistance, countries all across the globe are collecting data using a variety of surveillance tools. Moreover, hospitals routinely collect the AMR data for treatment which is being stored in their Laboratory and Hospital Information systems (LIS-HIS). The generated clinical data is collected & stored in various formats, making it very difficult to analyze and generate national reports. To integrate the stored clinical data for predictive modeling and analysis, there is an immediate need for a one-stop data repository capable of importing and exporting data in simple data exchange formats (CSV/Excel). The paper highlights the design & development of i-DIA, a python-based web API to facilitate the interoperability of AMR data by automatically importing the bulk of medical data from CSV files into generic data management and analysis system. The i-DIA has been integrated and tested with the ICMR’s AMR surveillance network on in-house developed software, i-AMRSS. The i-AMRSS is presently collecting data from 31 laboratories across India and i-DIA has been used to import data generated from LIS & HIS of a few hospitals directly into the system. The paper also proposes the complete web-based framework (an extension of i-DIA) integrated with peer-to-peer system architecture.
format	article
author	Jasleen Kaur Jasmine Kaur Shruti Kapoor Harpreet Singh
author_facet	Jasleen Kaur Jasmine Kaur Shruti Kapoor Harpreet Singh
author_sort	Jasleen Kaur
title	Design & development of customizable web API for interoperability of antimicrobial resistance data
title_short	Design & development of customizable web API for interoperability of antimicrobial resistance data
title_full	Design & development of customizable web API for interoperability of antimicrobial resistance data
title_fullStr	Design & development of customizable web API for interoperability of antimicrobial resistance data
title_full_unstemmed	Design & development of customizable web API for interoperability of antimicrobial resistance data
title_sort	design & development of customizable web api for interoperability of antimicrobial resistance data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d6195726911f4ccba255f974fdda6d66
work_keys_str_mv	AT jasleenkaur designdevelopmentofcustomizablewebapiforinteroperabilityofantimicrobialresistancedata AT jasminekaur designdevelopmentofcustomizablewebapiforinteroperabilityofantimicrobialresistancedata AT shrutikapoor designdevelopmentofcustomizablewebapiforinteroperabilityofantimicrobialresistancedata AT harpreetsingh designdevelopmentofcustomizablewebapiforinteroperabilityofantimicrobialresistancedata
_version_	1718385720259772416

Design & development of customizable web API for interoperability of antimicrobial resistance data

Ejemplares similares