The session titled Innovation To Impact: AI As A Public Health Gamechanger explored how artificial intelligence can move beyond pilots and innovation stages to deliver measurable improvements in public health outcomes at scale. Bringing together policymakers, healthcare leaders, technology innovators, and global partners, the discussion examined how India’s strong digital health foundation and expanding AI ecosystem can drive meaningful transformation across healthcare delivery.

Speakers emphasised that health remains central to India’s socioeconomic progress, and that AI has the potential to strengthen access, efficiency, and clinical decision making when supported by clear policy direction and collaborative execution. The conversation positioned AI as both a healthcare enabler and a catalyst for wider economic and social impact.

Key Themes Discussed

1. From Innovation To Scalable Public Health Impact
Panellists discussed how India can translate AI innovation into real world adoption through outcome focused programmes, stronger implementation frameworks, and alignment between policy and frontline healthcare systems.

2. Digital Public Infrastructure As An Enabler
The session highlighted the role of digital health ecosystems, including interoperable platforms and data driven systems, in enabling scalable AI deployment. Speakers noted that robust digital infrastructure provides the foundation for effective AI integration across healthcare pathways.

3. Public Private Collaboration And Responsible Adoption
Participants stressed that collaboration between government agencies, healthcare providers, and technology companies will be essential to move AI solutions from experimentation to mainstream public health practice. Governance, trust, and measurable outcomes were identified as key success factors.

Speaker Perspectives

Dr. Bishnu Panigrahi, Fortis Healthcare
Dr Panigrahi highlighted the clinical perspective, noting that AI adoption must remain patient centred and outcome driven. He emphasised the importance of integrating AI tools into existing clinical workflows to improve efficiency without compromising quality of care.

Dr. V. K. Paul, NITI Aayog
Dr Paul underscored the role of national strategy and policy alignment in scaling AI for healthcare. He emphasised that coordinated efforts across ministries, regulators, and industry are essential to ensure responsible and equitable deployment.

Aman Sharma, Government of India
Sharma focused on adoption pathways within public systems, highlighting how digital governance frameworks and implementation support can accelerate AI enabled healthcare transformation.

Bharat Sesha and Roy Jakobs, Royal Philips
Both speakers emphasised industry collaboration and innovation partnerships aimed at enabling scalable diagnostics, imaging, and preventive health solutions powered by AI. They highlighted the importance of building solutions that are adaptable to diverse healthcare environments.

Harsh Mahajan, Mahajan Imaging and Labs
Mahajan shared insights from diagnostic practice, stressing how AI can support precision, faster reporting, and improved clinical decision support when combined with skilled human oversight.

Neeraj Jain, PATH
Jain highlighted implementation challenges and opportunities in public health systems, noting that equity and accessibility must remain central when deploying AI at population scale.

Nico Schiettekatte, Embassy of the Kingdom of the Netherlands in India
Schiettekatte emphasised international collaboration and knowledge exchange, highlighting how cross border partnerships can accelerate innovation and adoption in healthcare AI.

Anupriya Patel, Ministry of Chemicals and Fertilizers
Patel highlighted policy support and ecosystem development as essential to enabling sustainable innovation pathways that link healthcare impact with economic growth.

Strategic Takeaways

• AI has the potential to transform public health when supported by scalable deployment models.

• Digital public infrastructure provides a strong foundation for AI enabled healthcare delivery.

• Policy alignment and measurable outcomes are essential to move from innovation to real impact.

• Public private partnerships will play a central role in accelerating adoption and ensuring accessibility.

Closing Note

The session reinforced that India is well positioned to move AI from innovation to large scale public health impact by combining policy leadership, digital infrastructure, and collaborative execution. The discussion underscored that outcome focused deployment and responsible governance will be critical to unlocking long term health, social, and economic benefits.