Tripura adopts modern tech in healthcare: CM launches AI-based TB training pilot and NCD mission
Agartala, December 31, 2025 - Chief Minister Prof. Dr. Manik Saha launched the state-level Mukhyamantri Niramay Arogya Abhiyan at Pragna Bhavan, with a clear mandate: make healthcare affordable, timely, and outcome-driven across Tripura. Alongside the campaign, the state introduced an AI-based pilot training module on tuberculosis for frontline teams.
Calling it a "far-reaching and strong step," Dr. Saha emphasized early detection and consistent follow-up. He noted that non-communicable diseases (NCDs) such as hypertension, diabetes, heart disease, and cancers are rising in people aged 30 and above-and often get detected late.
What healthcare teams need to know
The Abhiyan will run in a mission mode to tighten screening, treatment initiation, and follow-up for NCDs. The AI-based TB training pilot is intended to standardize learning, speed up skill refresh, and improve adherence to protocols across the health workforce.
- Systematic screening focus: people aged 30+ for hypertension, diabetes, and common cancers.
- Clear referral chains and treatment initiation without delays.
- Structured follow-up to reduce attrition and complications.
- On-the-job upskilling through a TB training module that can be measured and iterated.
Why this matters
"Only a healthy person can contribute to building a healthy society," Dr. Saha said, stressing awareness and disciplined lifestyles alongside timely services. He referenced national priorities that use technology for human welfare and signaled that Tripura will continue to adopt practical digital approaches where they improve care.
Key data shared by the Chief Minister
- 6.8 lakh people screened last year for diabetes and hypertension.
- 25,259 diagnosed with diabetes; 49,153 diagnosed with hypertension.
- 5.28 lakh women screened for breast cancer; 1 lakh screened for cervical cancer.
- Diagnosed patients were linked to treatment and kept under regular follow-up.
Implications for TB services
The AI-based pilot training module for TB is a signal that skill development will be more continuous and data-informed. Expect shorter learning loops, scenario-based refreshers, and tighter alignment with national protocols. Teams should prepare to integrate training outputs into supervision, quality checks, and case management workflows.
- Reinforce standard TB screening and referral criteria at OPD, NCD clinics, and community touchpoints.
- Use consistent documentation so training insights match service data.
- Prioritize data privacy and informed use of AI tools under state and national guidance.
- Coordinate with NTEP units for reporting, contact tracing, and treatment adherence.
For up-to-date technical guidance, see the WHO Global TB Programme resources here and India's National TB Elimination Programme portal here.
How facilities can operationalize this week
- Audit NCD screening flows for adults 30+; close gaps in BP, blood glucose, and common cancer screening.
- Refresh referral and counter-referral pathways; define turnaround times and escalation points.
- Identify staff for the TB training pilot; set a microlearning schedule with quick assessments.
- Align follow-up protocols: registers, digital trackers, and reminder systems so patients don't fall through.
- Assign a focal person for monitoring indicators and quick course-corrections in mission mode.
Dr. Saha called on health staff at every level to "play a responsible role" in taking these programs to peak effectiveness. Leadership present included Health Department Secretary Kiran Gitte, Tripura National Health Mission Director Saju Wahid, Health Director Dr. Debashree Debbarma, Disease Prevention Director Dr. Anjan Das, and Medical Education Director Dr. H. P. Sharma.
If your team plans broader AI upskilling to support these initiatives, explore practical pathways by role here.
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