The doctoral ethnographic project delves into the multifaceted nature of hospitals and medical plurality in Zambia resulting from the integration of digital technology. Focusing on a mobile clinic with telemedicine services established by a Zambian startup, the research explores how innovators customise digital functionality, build patient datasets and employ diagnostic artificial intelligence for prenatal care, collaborating with stakeholders to address healthcare issues. It also analyses the challenges in generalised datasets and inadequate public health facilities to improve care for vulnerable expectant mothers in Sub-Saharan Africa. Additionally, the project examines institutionalised archives that have parallels with curated datasets, shedding light on the history of hospital infrastructure and the history of patient data that determines the state of AI for future diagnostics. In this era of AI-driven technology, the study shows the impact of adaptive solutions on the tangible aspects of medical practices, technologies, and objects within a cultural context, contributing to the fields of digital anthropology, medical materiality, and evolving care dynamics.