Uploaded June 2015 | Updated September 2026, 1 hour ago
This talk was given by undergraduate Gautam Sanka during the 8th Annual Computer Science Undergraduate Research Symposium in 2014. Gautam‘s research was supervised by Dr. Hye-Chung Kum.
"Implementing Mobile Health Records in Low-Resource Settings"
The gradual adoption of electronic medical records (EMR) in resource-rich nations has improved the quality of health care and reduced medical errors. The same can be employed in resource-poor nations, and with the recent advances in mobile technology and wireless infrastructure, EMRs will become an essential part of the medical process. This paper provides guidelines on how to develop and deploy the proposed system in low-resource settings. A case study details how the proposed model was then successfully implemented at the CARE Rural Health Mission in India.
Gautam Sanka is a graduating senior from Morrisville, NC who will be pursuing a Master of Science in computer science from UNC next year. Gautam is interested in the fields of data mining, networking, and mobile computing.
This talk was given by undergraduate Gautam Sanka during the 8th Annual Computer Science Undergraduate Research Symposium in 2014. Gautam‘s research was supervised by Dr. Hye-Chung Kum.
"Implementing Mobile Health Records in Low-Resource Settings"
The gradual adoption of electronic medical records (EMR) in resource-rich nations has improved the quality of health care and reduced medical errors. The same can be employed in resource-poor nations, and with the recent advances in mobile technology and wireless infrastructure, EMRs will become an essential part of the medical process. This paper provides guidelines on how to develop and deploy the proposed system in low-resource settings. A case study details how the proposed model was then successfully implemented at the CARE Rural Health Mission in India.
Gautam Sanka is a graduating senior from Morrisville, NC who will be pursuing a Master of Science in computer science from UNC next year. Gautam is interested in the fields of data mining, networking, and mobile computing.
