ߏߔߌ߲ߛߑߕߙߌߕߑߡߊߔ ߛߌ߲ߞߐ߲ OpenStreetMap

OSM_RMSI ߕߋ߬ߟߋ߲

ߕߋ߬ߟߋ߲ ߟߊ߬ߘߏ߲߬ߠߌ߲߬ߣߐ ߞߐߟߕߊ ߟߎ߬

Our Experience working with Health Facilities Import -India.

ߊ߬ ߟߊߦߟߍ߬ߣߍ߲߬ ߦߋ߫ OSM_RMSI ߓߟߏ߫ 3 March 2020 ߦߋ߫ English ߟߋ߬ ߘߐ߫

Hello everyone,

RMSI would like to share our experience and knowledge while working on the Health Facilities Import - India, which was initiated for the OpenGovernmentData - https://data.gov.in/ in April 2019.

Almost 68.86% Indian population lives in rural areas and the hospitals with emergency services and other small healthcare centers provide vital services in these areas. Which Often serve as the foundations of rural health care delivery systems. Long travel distances is one of the difficulties for residents of rural areas to access and seek health care services in these hospitals, as these hospitals normally serve multiple communities within a large region.

At RMSI, we’re on a mission to make the digital and physical worlds come together through technology driven solutions. When looking for solutions to the issues above, we noticed a lot of hospitals or healthcare centers didn’t even exist on most of the maps. OpenStreetMap as an open source editable map, it allows more affordable access to the residents living in the rural areas and digitizing healthcare centers in it will be a big helpful first step to resolve the problem. We believe strongly that the solution to most problems starts with getting the right data. India though has been devoid of meaningful healthcare data for a long time. Certainly, surveys and other rudimentary data collection through various data sources is important and do help, but they are normally time-consuming and less efficient with a lot of field trips, particularly while handling large datasets in large areas.

Hence we’re taking a stab at this by looking for our own data resources and making the insights available publicly so that we can spark and guide the conversation around what ails people in India and where healthcare data addition efforts to OSM Maps should be focused.

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