FOR IMMEDIATE RELEASE
AITCM Group Announces Readiness of IntensivistASSIST: The World’s First AI-Powered Antimicrobial Stewardship Intelligence Library & AI Model for Intensive Care Units
A New Era in Combating Antimicrobial Resistance Through AI-Driven Clinical Intelligence & Anti-Microbial Stewradship
New Delhi, India – 23rd June 2026
Professor Ajay Chhabra, Founder of AITCM Group and creator of IntensivistASSIST, upon the inspiration of Mr. Atul Sharma who is known as the Father of Anti-Microbial Stewardship in India and has been credited with the implemntation of the AMS in offline mode in ICUs for long, today announced that the company’s pioneering Artificial Intelligence model and clinical AI library for Antimicrobial Stewardship Programs (ASP) has successfully completed its solution conceptualization phase and is now ready for pilot deployment across selected hospitals. The initial target is to work with just 5 hospitals in the first year of operations and also to offer them 4% perpetual Royalty for next 20 years from the IntensivistASSIST’s global product sales worldwide.
IntensivistASSIST represents a significant milestone in AI healthcare innovation, designed specifically to address one of the greatest challenges facing modern medicine: Antimicrobial Resistance (AMR). The platform combines advanced artificial intelligence, clinical decision support, antimicrobial stewardship principles, and intensive care expertise to assist clinicians in making timely, evidence-based antimicrobial decisions in critical care environments.
According to global healthcare research, antimicrobial resistance continues to rise worldwide, while intensive care units remain among the most complex clinical settings due to the volume of patient data, severity of illness, and urgency of treatment decisions. AI-assisted stewardship solutions are increasingly being recognized as an important component of future ICU care.
What is IntensivistASSIST?
IntensivistASSIST is an AI-powered clinical intelligence library built specifically for Intensive Care Units (ICUs). Unlike generic healthcare AI systems, the platform has been engineered around antimicrobial stewardship workflows and critical care decision-making processes.
The solution continuously analyzes multidimensional clinical information including:
- Patient demographics and clinical history in EMR systems
• Laboratory and microbiology reports
• Culture and sensitivity patterns
• Antibiotic utilization trends
• ICU treatment protocols
• Infection risk indicators & patient risk stratification
• Anti-microbial Stewardship guidelines and evidence-based recommendations from ICMR. CDC, WHO GAP AMR 2026-36, IDSA, CLSI, GoI NAP-AMR 2.0
Using advanced artificial intelligence and machine learning models and clinical reasoning frameworks, the platform generates actionable insights that support intensivists, infectious disease specialists, pharmacists, and antimicrobial stewardship teams.
Addressing the Global AMR Crisis
The misuse and overuse of antibiotics have accelerated the emergence of drug-resistant organisms worldwide. Clinicians often face the difficult challenge of initiating rapid treatment while simultaneously ensuring responsible antibiotic usage.
IntensivistASSIST has been developed to help bridge this gap by supporting:
- Early identification of antimicrobial optimization opportunities
- Evidence-based antibiotic selection
- Antimicrobial de-escalation recommendations
- Duration-of-therapy monitoring
- Resistance trend analysis
- Stewardship compliance tracking
- ICU-specific infection management support
The objective is not to replace clinicians, but to augment clinical expertise with real-time intelligence and data-driven recommendations.
A Human-Centered AI Approach
One of the key lessons from healthcare AI adoption globally is that clinicians require transparency, explainability, and workflow integration rather than additional alert fatigue. Recent discussions among ICU professionals have highlighted the importance of AI systems that provide meaningful recommendations with clinical rationale rather than generic notifications.
IntensivistASSIST has therefore been designed around a “clinician-in-the-loop” philosophy, ensuring that all recommendations remain advisory while final decisions continue to rest with qualified healthcare professionals.
Expected Impact
Pilot deployments are expected to evaluate the platform’s potential contribution across several key areas:
- Improved antimicrobial stewardship compliance
- Reduction in inappropriate antibiotic utilization
- Enhanced decision support for ICU teams
- Better visibility of resistance patterns
- Reduced variation in antimicrobial prescribing practices
- Strengthened hospital AMR programs
- Improved quality and safety outcomes
The platform has also been architected for future integration with hospital information systems, laboratory systems, electronic medical records, and ICU monitoring environments.
Statement from Professor Ajay Chhabra
“IntensivistASSIST is a example of real co-creation and keeping patient care and customer hospital in mind. Antimicrobial resistance is one of the defining healthcare challenges of our generation. At AITCM Group, we believe artificial intelligence can serve as a powerful ally in helping clinicians make faster, smarter, and more evidence-based decisions.
IntensivistASSIST is the culmination of years of research, clinical collaboration, and AI innovation. Our vision has always been to create a practical and scalable intelligence platform that empowers healthcare professionals while strengthening antimicrobial stewardship efforts.
Today, we are proud to announce that IntensivistASSIST’s technical architecture and business requirements document, concpt note and solution presentation are ready and we are inviting Level -III ICU based hopsitals for pilot program signup and implementation in hospitals, bringing us one step closer to transforming how critical care teams combat antimicrobial resistance.”. Within few months of this pilot the AI library and models will be trained with anonymous patient’s real data and this may even go on the path to becoming world’s first LLM for ICU.
— Professor Ajay Chhabra
Founder, AITCM Group
Creator, IntensivistASSIST
About AITCM Group
AITCM Group is an early stage, self-funded, AI Tech, healthcare innovation and artificial intelligence organization focused on developing next-generation clinical intelligence platforms for hospitals, critical care, medical education, and digital health transformation. The organization is committed to creating AI solutions that enhance clinical decision-making, improve patient outcomes, and support healthcare professionals worldwide.
Media Contact
Professor Ajay Chhabra
Founder, AITCM Group
Phone: +91 74287 23334
Email: Ajay.Chhabra@aitcmgroup.com
Website: www.aitcmgroup.com