Background Growing resistance to antimicrobials has become an important health issue of the 21st century. Many international, national and local approaches are being employed for the control and prevention of antimicrobial resistance (AMR). Among them, surveillance is reported to be the best method to reduce the spread of infection and thereby AMR. An integral component of AMR surveillance is the informatics suite for collection, storage and analysis of surveillance data. Methods Considering the traits of an optimal surveillance tool and constraints with existing tools, Indian Council of Medical Research (ICMR) initiated the design and development of ICMR’s Antimicrobial Resistance Surveillance system (i-AMRSS). i-AMRSS is a web-based tool built using modular architecture. It is capable of collecting standardized data from small laboratories to generate local and nationwide reports. Results i-AMRSS is a robust, comprehensive, modular, extensible and intelligent open-source tool piloted in ICMR’s AMR Network (31 hospitals and laboratories across India) since 2016. The developed tool has collected more than 280 000 patient records to date. Conclusions The standardized data collected through i-AMRSS would be valuable for various collaborators to monitor outbreaks and infection control practices, evaluate transmission dynamics and formulate antibiotic use and selling policies. The tool is presently being used to capture human testing and consumption data, however, it can be extended for AMR surveillance using a ‘One Health’ approach.

Growing resistance to antimicrobials has become one of the most important problems of the 21 st 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 tool i -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.

Background: National Mental Health Program (NMHP) was launched by the government with an aim to improve mental health of the society through precise and focused interventions and policies. In order to provide reliable data and evidence for NMHP, there is a strong requirement of a comprehensive system for integrative collection, storage, and analysis of data generated by this program. Methods: Data collection tools, questionnaires, instruments, and scales provided by the National Coordinating Unit were digitized using the District Health Information Software 2 (DHIS2) framework (version 2.30). The rules for data validation and automated scoring were implemented as per the scales. The developed system ( i-MANN, ICMR-Mental Health Assessment National Network) is based on modular architecture with role-based access to data input forms and dashboards. Results: The data are stored on a centralized server at ICMR. i-MANN captures data on basic and advanced demographic details followed by category specific forms from 15 multicentric ICMR-funded projects. Data collection module is divided into 12 categories containing 93 scales/instruments with built-in validation rules, scoring patterns, and indicators. As of August 2020, the system contains 17,690 records. Conclusions: i-MANN is the first web-based, modular, robust, and extendable system for collection, integration, management, and analysis of data on mental health in India.