Indian Journal of Public Health Research & Development

  • Year: 2018
  • Volume: 9
  • Issue: 5

Optimizing Maternal and Child Healthcare in India through the Integrated use of Artificial Intelligence, Big Data and Telemedicine: A Literature Review

1Medical Intern, Shri Ram Murti Smarak Institute of Medical sciences, Bareilly

2Director, E Info Solutions, Shri Ram Murti Smarak Institute of Medical sciences, Bareilly

3Junior Resident, Shri Ram Murti Smarak Institute of Medical sciences, Bareilly

Abstract

The Maternal Mortality Rate (MMR) and the Infant Mortality Rate (IMR) of India are an alarming 174/1,00,000 live births and 34/1000 live births. This is a result of poor quality and inaccessible healthcare. This literature attempts to review the published works offering a solution to this issue with reference to Artificial intelligence, telemedicine, big data and their integration.

To review the published literature regarding use of artificial intelligence, big data and telemedicine in healthcare to offer a solution to reduce the MMR and IMR. The use of technology for optimizing maternal and infant health-care has not been studied in India.

Literature search using keywords Artificial intelligence, e-health and big data analysis was performed.

It was seen that such integration is being utilized to improve healthcare in various countries across the world. In India however, such application has not been envisaged.

The use of such integration has been beneficial in optimizing healthcare, albeit requires further clinical evaluation.

Keywords

Artificial Intelligence, digital healthcare, technology, telemedicine, EMR, analytics, big data