Bain & Company and HealthQuad have released their joint report, ‘AI in Indian Healthcare Delivery’, highlighting the growing adoption of artificial intelligence across India’s healthcare sector. While most providers remain in the pilot stage, hospitals are increasingly scaling AI for administrative and operational workflows.
The report notes that government initiatives, rising electronic medical record (EMR) adoption, private investment, a growing start-up ecosystem and increasing clinician acceptance are creating favourable conditions for wider AI adoption.
Operational AI Takes the Lead
Healthcare providers are currently adopting AI faster for operational tasks because these applications are easier to implement and deliver measurable benefits. These tools can reduce administrative workloads for doctors, nurses and other healthcare professionals, allowing them to spend more time on patient care.
However, clinical AI adoption remains limited to a smaller group of mature providers and primarily supports, rather than replaces, clinical decision-making.
As per the Bain & Company and HealthQuad report, India’s approximately 35% EMR adoption remains a key barrier to connected clinical AI. While larger urban hospital chains have made greater progress, many small and mid-sized hospitals continue to depend heavily on paper records.
Three Key Enablers
The report identifies data readiness, regulatory clarity and locally applied talent as critical factors for scaling healthcare AI. At the same time, India’s AI ecosystem continues to expand, with start-ups developing solutions across diagnostics, inpatient care, remote monitoring and post-discharge management.
The Road Ahead
Looking ahead, the report identifies significant opportunities in remote patient monitoring, ICU and operating theatre optimisation, and chronic disease management. For hospitals, the report recommends treating AI as a business transformation rather than simply an IT project.
Ultimately, successful adoption will depend on combining value, deployability and trust while strengthening India’s data, digital and clinical infrastructure.