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India Leverages AI for Public Health

Summary

  • AI tools are used since April 2022 for early outbreak detection.
  • A unified digital platform enhances disease surveillance nationwide.
  • Digital health records support data analytics and rapid response.
India Leverages AI for Public Health

India has been employing Artificial Intelligence tools since April 2022 to enhance disease surveillance and detect early warning signals. The Integrated Disease Surveillance Programme utilizes AI for media scanning, enabling the timely identification and management of potential outbreaks. This proactive approach aims to strengthen the nation's response to communicable diseases.

The Integrated Health Information Platform (IHIP), a paperless system launched in 2021, now serves all 36 states and Union Territories. IHIP provides a unified, near real-time reporting mechanism, crucial for effective public health monitoring at all administrative levels and fostering seamless interoperability across various health programs.

Further advancements include the Ayushman Bharat Digital Mission, promoting a digital health ecosystem with integrated national health programs. Digitized records and data analytics, including predictive modeling, are bolstering disease surveillance and response capabilities, supported by the establishment of new NCDC branches to boost state-level capacity.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
India's Integrated Disease Surveillance Programme has used AI tools since April 2022 for media scanning to detect early warning signals of potential disease outbreaks.
IHIP is a paperless, near real-time reporting system launched in 2021 that all 36 states and Union Territories use for national disease surveillance.
ABDM supports a digital health ecosystem, enabling digitized health records for data analytics, predictive modeling, and rapid response to public health emergencies.

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