THINKMD´s digital health point-of-care tool to support Frontline Health Workers (FLWs) to assess, diagnose, and treat patients and improve adherence to the WHO IMCI guidelines was introduced in 15 health facilities in Kano State, Nigeria, in April to August 2018.
WHO (2018). WHO compendium of innovative health technologies for low-resource settings, 2016- 2017.
WHO compendium of innovative health technologies for low – resource settings 2016-2017 provides information about novel advancements that offer a new solution to address unmet health needs. It celebrates the work of those who create inexpensive tools that can be used...
THINKMD (2018). Development and Initial Validation of a Frontline Health Worker mHealth Assessment Platform (MEDSINC) for Children 2–60 Months of Age.
Research article in the American Journal of Tropical Medicine & Hygiene, with results indicating that the THINKMD platform, previously referred to as MEDSINC, could significantly increase pediatric health-care capacity in LMICs by improving FLW’s ability to accurately...
THINKMD (2022). Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.
Research article in frontiers in Artificial Intelligence by THINKMD. Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children that investigates improving the accuracy of...