Building A Low Cost Obstetric Equipment and Supplies Prediction System Using Modern Mobile Web Technologies
Source code for a paper submitted to the 6th International Conference on Mobile Communication Technology for Development (M4D2018) scheduled for November 2018. More about the conference here
Uganda has the 37th highest maternal mortality rate in the world. The maternal mortality rate currently stands at 336 per 100,000 live births. The majority of these deaths are due to avoidable delays in medical intervention. Knowing as precisely as possible what a health centre will need to cater to pregnant mothers can greatly improve the ease and speed of providing medical care to pregnant women at health centres. We propose leveraging recent developments brought on by increasing mobile Internet usage to develop low cost solutions aimed at reducing delays in the delivery of medical care. To demonstrate the applicability and potential benefits of such technologies we developed an application, built using recently developed progressive web application techniques. The application is capable of intelligently predicting the number of pregnant women likely to visit a health in any given month, as well as the medical supplies and equipment that the facility will need to properly attend to them. Predictions will help facilities better plan resource provisioning in order to provide timely medical treatment. Predictions can also improve the currently inadequate referral capabilities in many local health centres. Finally, we demonstrate how such a project can take advantage of the numerous currently available cloud computing solutions to lower the costs of deployment.
Some screenshots of the application
The PWA running in a browser
The PWA running on an android tablet
Prediction shown alongside current medical supply
The full paper can be accessed Here