The Electronic medical record Support for Public health (ESP) project is an automated software application, that analyzes electronic medical record (EMR) data, to identify and report conditions of interest to public health and other agencies.
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The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
An application to strengthen and monitor community health programs that runs on low cost mobile phones.
RapidSMS is a SMS-based (text message) framework that manages data collection, complex workflows, and group coordination using basic mobile phones — and can present information on the internet as soon as it is received. So far RapidSMS has been customized and deployed with diverse functionality: remote health diagnostics, nutrition surveillance, supply chain tracking, registering children in public health campaigns, and community discussion.
iDART is a software solution designed to support the dispensing of ARV drugs in the public health care sector. It supports pharmacists in their important role of dispensing accurately to an increasing number of patients whilst still being able to engage and assist the patient.
The Raxa JSS EMR is an information management system ("Raxa") designed for and to be initially implemented at the Jan Swasthya Sahyog (JSS), a healthcare non-governmental organization (NGO) working in a largely rural, underserved community in India. Raxa JSS EMR is an OpenMRS based Health Information System.
The Spatiotemporal Epidemiological Modeler (STEM) tool is designed to help scientists and public health officials create and use spatial and temporal models of emerging infectious diseases. These models can aid in understanding and potentially preventing the spread of such diseases.