Data BRIDGE: Building Reliable Information from Data Generated in Everyday clinical practice for newborn care in sub-Saharan Africa
About the talk
Option to join in-person or virtually (via Zoom)
In this talk, Timothy Tuti will discuss his ongoing research that is designing and implementing a paper-to-digital information pipeline to support clinical surveillance and service improvement at scale in sub-Saharan Africa using a learning health systems approach.
His focus is on neonatal hospital care because the majority of deaths occur in this group. There is poor availability of routine clinical data and use in decision-making. The impact of global heating, antimicrobial resistance, and environmental pollution on neonatal conditions and outcomes is largely unknown.
Paper-based clinical records can play a valuable role in clinical surveillance and service improvement, especially in rural and public healthcare facilities. In these settings the introduction of electronic record keeping would disrupt workflows, introduce additional costs, and overburden the already overstretched workforce.
There will be a networking lunch after the talk.
About the speaker
Timothy Tuti is a post-doctoral research fellow at the Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme in Nairobi Kenya. He has an extensive background in computer science (BSc.), social research methods and statistics (MSc.) and learning and new technologies (DPhil). Tuti’s research has involved development and evaluation of digital health interventions to improve quality of neonatal and paediatric care, the use of audit and feedback interventions to improve the quality of care provided in public hospitals, and the co-creation of innovative digital health solutions (e.g. clinical prediction models, learning platforms, decision support tools etc.) to address the needs of frontline healthcare workers in sub-Saharan Africa.
Post-doctoral research fellow at the Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme in Nairobi Kenya