MAM*AI - AI-powered medical chatbot for midwives
Project Abstract
Despite improvements in maternal health, maternal mortality is either stagnating or worsening globally, with low- and middle-income countries particularly being affected. Midwives - if trained in line with international standards - have the potential to significantly prevent and avert maternal and newborn deaths and improve maternal health outcomes.
In Zanzibar, nurses provide midwifery care in the public health facilities. Working in low-resourced settings healthcare providers lack access to evidence-based information. Our team of experts from D-tree, LiGHT, Harvard University, CMU and Swiss TPH, is developing an AI-powered and evidence-based medical chatbot to support clinical decision making, particularly in difficult clinical situations. We will combine cutting edge AI-technology, innovative approaches to user-design, clinical knowledge, and digital expertise. The chatbot will provide real-time responses tailored to the specific clinical cases and in line with national and international clinical guidelines.
An exploration phase will allow us to explore end-user needs. We will apply a human-centered design and co-design approach to jointly develop a solution tailored to the needs of end-users and the context. In a next step we will build a first prototype which will be continuously refined in close collaboration with end-users. In a next step the MVP will be piloted in a controlled setting.
