Wadhwani AI conducted training sessions for National TB Elimination Program staff in Gurugram, Bhiwani, Ambala, and Rohtak districts
Wadhwani Institute for Artificial Intelligence (Wadhwani AI) announced the deployment of an AI solution to predict the risk of loss to follow-up (LFU) and mortality among TB patients when they start TB treatment from government-run health facilities in Haryana. The National TB Elimination Program (NTEP) staff will provide intensive care to the AI-predicted high-risk patients during six to twelve months of treatment.
The AI solution, titled Comprehensive Loss to Follow-Up And Mortality Prediction (CLAMP-TB), was developed by Wadhwani AI under the USAID-supported TRACE-TB Project. CLAMP-TB will be used by NTEP staff across Haryana.
Leading up to the launch of the study, Wadhwani AI conducted training sessions for NTEP staff in Gurugram, Bhiwani, Ambala, and Rohtak districts, to facilitate the usage of CLAMP-TB at approximately 157 government health facilities across the state of Haryana. The District TB Officers, data entry operators, Senior Treatment Supervisors, and TB Health Visitors will use this AI solution to predict and initiate targeted TB treatments for almost 12,000 high-risk patients in the next 15 to 18 months.
Dr Rajesh Raju, State TB Officer, NTEP, Haryana says, “I am excited about the study of AI-based LFU/death prediction as it has the potential to transform how we approach TB management. By utilizing predictive analytics, we can identify high-risk patients and intervene early to prevent LFU and mortality among TB patients taken care in our government-run health facilities. This project has the potential to save many lives and significantly improve the health outcomes of our TB patients.”
Dr Sandeep Mishra, Program Manager, Wadhwani AI said, “I believe that timely identification of TB cases that face a high risk of potential adverse outcomes at an early stage is crucial for TB programs to give targeted and intensive interventions, thus reducing the LFU/mortality rate. In addition to lowering transmission and supporting TB eradication, CLAMP-TB can increase the success rate of treatment. Throughout the deployment, we will continue our regular review of data uploaded on the CLAMP portal and provide feedback to NTEP staff.”
