App/Software

Dr. Abdullah Saleh and Innovative Canadians for Change aim to develop and implement a standardized patient medical record system to link and consolidate healthcare services in one of Africa’s largest slums; facilitating access to medical treatment, while evaluating community health and epidemiological trends in the setting of a mapped out environment. Follow Innovative Canadians for Change on Twitter @ICChangeAB"

This project will provide SMS based proof of prescription for drug purchase at retailer. These are matched to provide cashless reimbursement to partner retailers, thereby simplifying the claims administration process and lowering insurance premiums.

New infectious diseases are emerging faster than ever, while many previously controlled diseases are re-emerging. BioDiaspora is a real-time decision support tool for managing the risk of infectious diseases, integrating and synthesizing big data about location and context.  This advanced predictive analytics tool will be introduced to India.  For more information visit www.biodiaspora.com.

Many TB patients in India are not adequately monitored, leading to complications such as multidrug-resistance. This project will address this problem in the tribal and poor regions of Madhya Pradesh, India, by training local healthcare providers to deliver TB treatment and equipping them with low-cost biometric technology that suits the needs of illiterate users. Using patient’s fingerprints during each scheduled dose will automatically notify providers when a dose is missed so that timely action can be taken.

Tuberculosis is second only to HIV/AIDS as the greatest killer worldwide due to a single infectious agent. High HIV related case loads, complex diagnosis and weak health systems for delivering TB care hamper efforts to reduce the global burden of this disease. We develop and implement the ledger shredder to improve TB surveillance and improve care. Follow Judy Gichoya on Twitter @judywawira"

A lack of diagnostic tools and skills in Tanzanian health facilities are blamed for widespread malaria misdiagnosis, which fails the patient's need, wastes precious resources and contributes to drug resistance. As many as 45% of arboviral infections in the country are misdiagnosed as malaria.  Automatically updated local estimates of the relative transmission risk of malaria and arboviral infections, delivered via mobile phone text messages to rural health workers, will help to better inform clinical diagnoses.