Sanjay Jain of Johns Hopkins University School of Medicine in the U.S. and colleagues in the U.S. and India will develop a cloud-based platform to record the location, caregiver relationships, and immunization records of infants in developing countries, and provide personalized reminders and incentives via mobile phone to improve the coverage of childhood immunizations. Low immunization coverage has been linked to inaccurate or incomplete records, and the difficulties of encouraging follow-up immunizations and identifying those who miss them. Their platform will store data in a cloud to ensure universal access to records, and use fingerprint identification of the caregiver for accuracy. It will also document each child's care network and location, and use this to send multiple text message reminders, and manage group and combined vaccinations to improve efficiency. They will test their approach in a low-resource rural community by training health workers equipped with mobile tablets, and recruiting around 800 mothers with infants or pregnant women provided with mobile phones.

Jacob McKnight and Mike Wilson of the University of Oxford in the United Kingdom will develop a simple application that contains information about the quality, location, and the nature and cost of services provided by the different pathology laboratories in Kenya so that doctors and patients can choose the one that best suits their needs. They will conduct surveys to collect key information on the pathology laboratories in the Nairobi area, and consult with doctors and medical associations to find out how they use those laboratory services and what needs to be improved. They will build the application using these data and in collaboration with users. Ultimately, the system should also help to improve the overall quality of services.

Daniel Pepper of Vayu in the U.S. will assess the value of using unmanned aerial vehicles integrated with existing healthcare supply chains to transport healthcare products and diagnostic samples in Senegal. Healthcare supply chains are critical for saving lives but are restricted by poor road infrastructure in developing countries. Unmanned aerial vehicles can overcome these restrictions and ensure rapid transport in temperature-controlled conditions. They will engage stakeholders from the Pharmacie National d'Approvisionnement (PNA) to National laboratories, the Expanded Program of Immunization, the National Blood Bank and the Ministry of Health to explore the feasibility of using unmanned aerial vehicles for delivering vaccines, essential medicines, contraceptive products and blood, and also to pick up tuberculosis samples for diagnosis. They will perform a test over a three- to four-month period to evaluate the impact of their approach on delivery and costs, and gather feedback from users.

Shahnoza Eshonkhojaeva of Sinostream AB in Sweden will use machine-learning algorithms to predict the amount of medicines and supplies needed at individual health clinics in low-resource settings, and to inform medical stores for delivery. Their approach involves obtaining daily consumption patterns that are recorded on smart paper stock cards at rural health clinics, which requires no training, internet access, or electricity. These cards will then be scanned at district health service centers, the data digitized, and algorithms used to calculate consumption patterns and waste, and automatically predict future demand. They will build a prototype system and field test it in Uganda to evaluate how well it avoids under- or overstocking products, and the cost-saving and time-saving benefits of having an automated stock management system.