Indan Journal of Medical Research Indan Journal of Medical Research Indan Journal of Medical Research Indan Journal of Medical Research
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ORIGINAL ARTICLE
Year : 2019  |  Volume : 149  |  Issue : 2  |  Page : 299-302

Developing a hybrid antimicrobial resistance surveillance system in India: Needs & challenges


1 Division of Informatics, Systems & Research Management, Indian Council of Medical Research, New Delhi, India
2 Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India
3 Antimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan
4 Institute of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway

Correspondence Address:
Dr Harpreet Singh
Division of Informatics, Systems & Research Management, Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi 110 029
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmr.IJMR_2074_17

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Growing resistance to antimicrobials has become one of the most important problems of the 21st century. The development of new antibiotics is a time-consuming process involving huge financial resources. An alternate approach is proper utilization of the existing antibiotics through the surveillance of resistance. An important component of surveillance is the informatics tool for collection, management and analysis of antimicrobial resistance susceptibility testing data. Based on the scope, antimicrobial resistance surveillance resistance tools can be broadly classified as collectors and integrators. Individually, both the integrators and collectors have limitations which restrict their use in India. There is a strong requirement to develop a hybrid AMR surveillance tool that captures standardized data from small laboratories and integrates data from multiple sources to present a complete picture of the country. Here we describe a tooli-AMRSS developed by the Indian Council of Medical Research for collection, storage and management of AMR data from collaborating institutes/laboratories and to generate real-time analytics and reports.


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