Haryana has deployed three AI tools under a national program to strengthen its fight against tuberculosis. These tools are Cough Against TB (CATB) for screening via cough analysis, Prediction of Adverse TB Outcomes (PATO) for identifying high-risk patients, and Vulnerability Mapping for TB (VM-TB) for geographic risk prioritization.
The CATB tool has flagged 140 presumptive cases, while PATO has identified 18,591 high-risk patients since 2023. The VM-TB tool has pinpointed 2,111 high-risk villages for targeted screening efforts.
The main topics covered are the deployment of specific AI technologies for TB control, their individual functions in screening, monitoring, and geographic planning, and the early results from their implementation in Haryana.
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 prioritisation within the TB programme.
The state operationalised 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 analyses 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 oriented, 1,119 workers registered on the platform and 140 presumptive TB cases 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 analyses 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 visualise where vulnerability is concentrated and prioritise 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 programme 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.
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 prioritisation within the TB programme.
The state operationalised 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 analyses 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 oriented, 1,119 workers registered on the platform and 140 presumptive TB cases 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 analyses 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 visualise where vulnerability is concentrated and prioritise 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 programme 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.
Meridiano
