Policy gaps hindering widespread adoption of AI in Indian healthcare ecosystem: ISB study

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Policy gaps hindering widespread adoption of AI in Indian healthcare ecosystem: ISB study

A study by the Indian School of Business (ISB) reveals significant policy gaps that hinder the adoption of artificial intelligence (AI) in the Indian healthcare system. The report emphasizes the need for a comprehensive policy review to facilitate the integration of AI technologies, which can enhance healthcare delivery and improve patient outcomes. Key recommendations include standardizing electronic health record (EHR) systems and investing in workforce upskilling to create a robust health data infrastructure.

The study highlights the potential of AI to address critical healthcare challenges, such as the low doctor-patient and nurse-patient ratios in India. With around 4,000 companies focused on AI solutions in healthcare, there is a vibrant ecosystem ready to innovate. However, obstacles like data accessibility and regulatory uncertainties must be overcome to fully realize AI's benefits in improving healthcare access and quality.

• ISB study identifies policy gaps in AI adoption for Indian healthcare.

• AI can improve healthcare delivery and patient outcomes significantly.

Key AI Terms Mentioned in this Article

Artificial Intelligence (AI)

AI is discussed in the context of transforming healthcare delivery and improving clinical outcomes.

Electronic Health Records (EHR)

The report emphasizes the need for standardizing EHR adoption to enhance data infrastructure.

Public-Private Partnerships

The study suggests these partnerships can foster innovation in AI solutions tailored for the Indian healthcare context.

Companies Mentioned in this Article

Indian School of Business

The ISB conducted the study highlighting the need for policy reforms in AI adoption in healthcare.

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