Assistant Professor, Medical Science & Technology, Indian Institute of Technology (IIT), Kharagpur
CO-Principal Investigator
Prof Jayanta Mukhopadhyay
Professor, Computer Science and Engineering, Indian Institute of Technology (IIT), Kharagpur
Project Overview
Inadequate screening of high risk ante-natal cases and delayed referral and management attribute to large number of maternal and child deaths. This project intends to empower healthcare workers (HCW) with latest technologies and enhance affordable comprehensive primary health service to ANC. The proposed technology will enable the HCW to screen and provide well-timed referral of high risk cases for anemia, preeclampsia and gestational diabetes – major causes of preventable maternal morbidity/mortality and bridge the gaps in primary health care needs. Further, the user-friendly system intended to be developed is also expected to reduce the burden of the health-care workers by moving towards a faster and paperless data collection with easily identifiable indicators for high-risk cases. The low cost, user-friendly, semi-quantitative assessment tools developed will help in reducing subjective bias generating a huge amount of valuable data assisting policy makers to channelize their efforts more efficiently.