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利用综合技术加强印度的抗菌药物耐药性监测

Strengthening the Surveillance of Antimicrobial Resistance in India Using Integrative Technologies.

作者信息

Kaur Jasleen, Kaur Jasmine, Dhama Ajay Singh, Jindal Shelja, Walia Kamini, Singh Harpreet

机构信息

Division of Biomedical Informatics, Indian Council of Medical Research, New Delhi, India.

Epidemiology and Communicable Diseases Division, Indian Council of Medical Research, New Delhi, India.

出版信息

Front Public Health. 2022 Apr 4;10:861888. doi: 10.3389/fpubh.2022.861888. eCollection 2022.

Abstract

BACKGROUND

The antimicrobial resistance (AMR) situation in India is alarming. In the absence of newer antibiotics, the best possible approach is to efficiently use the existing antimicrobials through surveillance of resistance. The data generated by AMR surveillance across the country has immense potential to drive policy decisions. However, this data is available in a variety of sources. It is imperative to have tools to integrate the data generated across the country into a single data repository.

METHODS

An ensemble of tools (-AMRSS, -DIA, and -AMRIT) have been designed and developed by the data management team at the Indian Council of Medical Research (ICMR) to strengthen surveillance of antimicrobial resistance in India.

RESULTS

The -AMRSS is a web-based ICMR's AMR surveillance system, collecting data from tertiary care centers across the country and sending it to the one-stop data repository. The -DIA is a web-based API that simplifies the AMR data interoperability by seamlessly importing most of the LIS / HIS data from CSV files into a central, one-stop data repository. The -AMRIT is a standalone ICMR's AMR surveillance system using integrative technologies, collecting data from all the labs across the country and sending the lab-specific cumulative data to the one-stop data repository.

DISCUSSION

The tools are being used in ICMR's AMR Network and have collected over 0.4 million patient records to date. The complete system is presently being used to capture human susceptibility testing data and can be extended for capturing data using the 'One Health' approach. The authors plan to make the system compliant with FHIR standards to enable interoperability with other countries.

摘要

背景

印度的抗菌药物耐药性(AMR)情况令人担忧。在缺乏新型抗生素的情况下,最好的办法是通过耐药性监测有效利用现有抗菌药物。全国抗菌药物耐药性监测产生的数据具有推动政策决策的巨大潜力。然而,这些数据存在于各种来源中。必须有工具将全国产生的数据整合到一个单一的数据存储库中。

方法

印度医学研究理事会(ICMR)的数据管理团队设计并开发了一套工具(-AMRSS、-DIA和-AMRIT),以加强印度抗菌药物耐药性的监测。

结果

-AMRSS是基于网络的ICMR抗菌药物耐药性监测系统,从全国三级护理中心收集数据并将其发送到一站式数据存储库。-DIA是一个基于网络的应用程序编程接口(API),通过将大多数实验室信息系统(LIS)/医院信息系统(HIS)数据从CSV文件无缝导入中央一站式数据存储库,简化了抗菌药物耐药性数据的互操作性。-AMRIT是ICMR使用集成技术的独立抗菌药物耐药性监测系统,从全国所有实验室收集数据,并将特定实验室的累积数据发送到一站式数据存储库。

讨论

这些工具正在ICMR的抗菌药物耐药性网络中使用,迄今为止已收集了超过40万份患者记录。整个系统目前用于获取人类药敏试验数据,并可扩展为使用“同一健康”方法获取数据。作者计划使该系统符合快速医疗互操作性资源(FHIR)标准,以实现与其他国家的互操作性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5331/9013893/8b4840c6223a/fpubh-10-861888-g0001.jpg

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