The Trinity Challenge on Antimicrobial Resistance
Multimodal Interoperable Common data model for AMR and One Health
Short solution summary:
Awareness-driven surveillance coupled with digital technologies has great potential to reduce the misuse of drugs in underprivileged communities. To empower them with linguistically-agnostic-conversational-systems to facilitate automatic medication management through only physicians, low-cost AMR surveillance, identify hot spots during environmental shifts, and build city-level forecasting models for one health.
In what city, town, or region is your solution team based?
Delhi, IndiaWho is the Team Lead for your solution?
Dr Rintu Kutum, PhD, Department of Computer Science, Ashoka University
Dr Saloni Kamboj, MBBS, MS, DNB, AIIMS, New Delhi
Dr Matthew Louis Robinson, MD, Johns Hopskin Medicine, JHU, USA
Which Challenge Objective does your solution most closely address?
What specific problem are you solving?
Although it is widely accepted that One Health approaches are needed to address AMR, current data collection and analysis across antimicrobial use and AMR prevalence is fragmented. For example, estimates of antibiotic use in food animals are not tied at a local level to AMR prevalence in human communities. Indian and global frameworks to address AMR discuss the importance of individual components of the AMR challenge but do not benefit from an understanding of their connectedness. The most widely cited data describing antimicrobial use in India and globally derives from commercial data sources which aggregate pharmaceutical sales records (Klein EY, PNAS 2018), but does not include indications for antibiotic use, making it difficult to craft policies to curtail use. Although approximately ¾ of all antimicrobial use is in food animals , modeling of antibiotic use in animals has required complex estimations based on sparse data (Van Boeckel TP, Science 2017). Similarly, the estimation of community AMR prevalence in India derives from analysis of microbiology data from networks of flagship hospitals (ICMR). Without knowing why antibiotics are used and how the consequences of antibiotic use relate to AMR, it is difficult to craft policies and interventions to reduce AMR.
Who does your solution serve, and what needs of theirs does it address?
Marginalised and weaker sections of the society in Delhi NCR region (Delhi and Sonipat). We seek to support them with mobile and digital technologies designed along with and for them via free health services through camps and awareness
What is your solution’s stage of development?
Proof of Concept: A venture or organisation building and testing its prototype, research, product, service, or business/policy model, and has built preliminary evidence or dataPlease select all the technologies currently used in your solution:
What “public good” does your solution provide?
List of Public Good
- Linguistic-agnostic-conversational mobile app for AMR awareness
- White paper or peer-review publication
- To build privacy-preserved and resource-limiting setting deployment of open-sourced large language models for health
How will your solution create tangible impact, and for whom?
Underprivileged people
How will you scale your impact over the next year and the next 3 years?
Over the next year, we are planning to deploy the application and understand the build the interoperable standards to harmonized hotspots of drug usage from the communities along with comorbidities. Meanwhile, we will be collecting the environmental data, surveillance data of AMR.
How are you measuring success against your impact goals?
None
In which countries do you currently operate?
In which countries do you plan to deploy your solution within the next 3 years?
What barriers currently exist for you to accomplish your goals in the next year and the next 3 years? How do you plan to overcome these barriers?
Financial barriers
To build deployable robust systems, we would require qualified software engineers, and other stakeholders to work together.
We require high compute infrastructure for multiple iterations of fine-tuning open source large language models. We are planning to integrate health-ops (dev-ops working for healthcare).
What type of organization is your solution team?
Academic or Research InstitutionWhy are you applying to The Trinity Challenge?
Financial support
What organization(s) would you like to collaborate with to initiate, accelerate, or scale your solution?
Yes we would like to collaborate with mined organizations to provide health services to underprivileged individuals, awareness about health, ecosystems and one health
Solution Team
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SK
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SK
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Rintu Kutum PhD Faculty Fellow, Department of Computer Science, Ashoka University
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SM
Dr Siddhartha Mandal Senior Research Scientist, Centre for Chronic Disease Control
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MR
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DS
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Solution Name:
Multimodal Interoperable Common data model for AMR and One Health