Chennai-Based HIVE Launches AI Platform for Verified Clinical Decision Support
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Unlike conventional AI chatbots that primarily rely on publicly available online information, HIVE integrates patient records, clinical reasoning, medical literature, public health data, and current clinical guidelines.
Artificial intelligence is increasingly being used to seek health information, but concerns around misinformation and unreliable medical advice continue to grow.
Addressing this gap, a Chennai-based epidemiologist has developed an AI-powered platform designed to provide verified, evidence-based healthcare intelligence for doctors, frontline health workers, and public health programs.
Developed by Dr. Viduthalai Virumbi Balagurusamy, Founder Director of the Honeybee Population Healthcare Foundation (HPHF), the Healthcare Intelligence and Verification Engine (HIVE) combines artificial intelligence with clinical expertise to support evidence-based healthcare decisions.
Unlike conventional AI chatbots that primarily rely on publicly available online information, HIVE integrates patient records, clinical reasoning, medical literature, public health data, and current clinical guidelines. The platform also incorporates the treating physician's clinical judgment to deliver recommendations tailored to individual patients.
According to the developers, HIVE is designed to produce transparent and explainable healthcare intelligence while reducing the risks associated with misinformation, delayed diagnosis, inappropriate self-medication, and inaccurate health advice generated by generic AI systems.
"Healthcare is not just about information. It is about trust, context, and verification. HIVE has been built to ensure that healthcare decisions are supported by reliable evidence, clinical reasoning, and patient-specific realities rather than generic responses," said Dr. Balagurusamy.
Beyond supporting physicians in clinical decision-making, the platform is intended to assist frontline healthcare workers and public health initiatives, particularly in underserved communities where specialist healthcare services remain limited.
The foundation said the long-term objective is to strengthen preventive healthcare by enabling early disease detection, improving treatment adherence, expanding access to healthcare services, and helping communities make informed health decisions before conditions become severe.
HIVE is also being positioned to support several public health priorities, including maternal health, anemia, mental health, non-communicable diseases, perimenopause, menopause, and preventive screening. The platform aims to equip community health workers with verified decision-support tools that help identify health risks early and facilitate timely interventions.
Dr. Balagurusamy said AI should complement, rather than replace, clinicians. "Artificial intelligence should not replace human judgment. It should strengthen it. Our goal is to create a system where technology, clinicians, and public health workers work together to improve health outcomes for millions of people," he said.
The Honeybee Population Healthcare Foundation is currently offering HIVE free of cost to individuals and at subsidized rates for doctors, clinics, and hospitals.
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