The Honeybee Population Healthcare Foundation, a Chennai-based non-profit, has soft-launched the Healthcare Intelligence and Verification Engine — HIVE — a platform designed to support doctors, frontline healthcare workers and public health programmes with verified, evidence-based clinical decision support across India.
HIVE is built to deliver health information grounded in a patient’s own medical records, aligned with the clinical reasoning of the treating doctor, informed by current evidence-based guidelines and rigorously verified rather than merely generated.
The platform was developed by Dr Viduthalai Virumbi Balagurusamy, an epidemiologist trained at ICMR’s National Institute of Epidemiology. His career spans private clinics, multispecialty hospitals, medical colleges, occupational health and public health, including large-scale digital health programmes, mass gatherings and disaster and pandemic response. He worked with the Government of Tamil Nadu and National Health Mission teams to help architect the Population Health Registry, the digital backbone of the state’s doorstep healthcare programme for non-communicable diseases, Makkalai Thedi Maruthuvam, and supported the COVID-19 state war room. He stepped away from government service in November 2025 to devote himself full-time to HIVE.
What HIVE Does Differently
Unlike AI tools that primarily generate responses using information available online, HIVE integrates multiple sources of evidence and the treating doctor’s clinical judgement to deliver healthcare intelligence that is transparent, explainable and tailored to individual patients.
The platform verifies recommendations through patient records, clinical reasoning, medical literature, public health data and current clinical guidelines. Every recommendation is designed to be traceable and evidence-backed.
“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.
The platform targets a specific and serious gap in India’s healthcare system. Millions of people now rely on AI chatbots for health-related information. Misinformation, delayed diagnosis, inappropriate self-medication and unreliable advice are direct consequences of that reliance. HIVE is designed to address this by ensuring clinical decisions rest on verified intelligence rather than internet-sourced responses.
Who It Is Built For
HIVE is not aimed only at hospital doctors. The platform is designed to support frontline healthcare workers and public health programmes, particularly in underserved communities where specialist access is limited. India’s public health network includes more than one million ASHA workers and thousands of primary healthcare centres — a massive workforce that currently operates with limited decision support tools.
The platform addresses several key public health priorities in India: maternal health, anaemia, mental health, non-communicable diseases, perimenopause, menopause and preventive screening. Community health workers equipped with HIVE’s verified decision-support system can identify health risks early and enable timely intervention.
The long-term objective, according to the foundation, is a preventive healthcare ecosystem that facilitates early disease detection, improves treatment compliance and expands access to healthcare services before illnesses become critical.
“Artificial intelligence should not replace human judgement. 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,” Dr Balagurusamy said.
Pricing And Access
The Honeybee Population Healthcare Foundation is currently offering HIVE free of cost to individuals. Doctors, clinics and hospitals receive access at subsidised rates. The foundation has stated that wider access to verified healthcare intelligence is essential for improving healthcare equity, particularly in resource-constrained settings.
