Chandigarh, March 13 Haryana has deployed three Artificial Intelligence-based tools under the Pradhan Mantri TB Mukt Bharat Abhiyaan to strengthen tuberculosis detection, treatment, and geographic planning across the state, Additional Chief Secretary, Health and Family Welfare Department, Sumita Misra said here on Friday.
Giving details of the state's technological initiatives in TB elimination, Misra said the state has implemented a structured three-pronged AI approach that strengthens screening, patient monitoring, and geographic prioritization within the TB program.
The state operationalized two of the three tools – Cough Against TB (CATB) and Vulnerability Mapping for Tuberculosis (VM-TB) – in February 2025, while the third tool, Prediction of Adverse TB Outcomes (PATO), has been functional since April 2023, she said in an official statement.
All three solutions have been developed and deployed in collaboration with the Central TB Division under the National Tuberculosis Elimination Programme, she said.
Misra said CATB is a mobile-based application that analyzes cough sounds and symptoms to screen individuals for presumptive pulmonary tuberculosis, including in areas without internet connectivity.
Designed for use in both community and facility-based environments, the tool provides frontline health workers with a fast, consistent, and reliable decision-support system, enabling early identification even among individuals who may not present obvious symptoms.
Since its launch, 711 individuals have been enrolled, 2,654 frontline workers have been oriented, 1,119 workers have registered on the platform, and 140 presumptive TB cases have been flagged for further diagnostic testing across 609 Health and Wellness Centres.
Giving details of the PATO tool, Misra said it uses routinely collected patient data from the national Ni-kshay portal to identify, at the time of treatment initiation, patients who are at a higher risk of dropping out of treatment or mortality.
By flagging such individuals early, the tool enables healthcare providers to offer closer monitoring, targeted support, and timely intervention, thereby strengthening treatment adherence and reducing the risk of drug-resistant TB.
Since its deployment in April 2023, 18,591 high-risk patients in Haryana have been identified under this tool.
Misra further said that VM-TB is an advanced AI-driven geospatial analytics tool that analyzes notified TB cases alongside more than 20 geospatial and health-determining indicators to identify villages and urban wards with a higher likelihood of TB risk.
Integrated into the national Ni-kshay portal, it generates vulnerability scores ranking locations into high, medium, and low risk zones.
This enables district and state health authorities to clearly visualize where vulnerability is concentrated and prioritize areas for focused outreach and screening.
Using this tool, 2,111 high-risk villages across the state have been identified, enabling health authorities to plan and execute targeted Active Case Finding efforts.
Misra further said that by embedding advanced analytics within established program structures, the state is enhancing efficiency, strengthening frontline decision-making, and accelerating progress toward a TB-mukt Haryana.
She added that Haryana remains committed to leveraging technology to ensure that TB care is timely, targeted, and accessible to all.