DIGITAL INNOVATION AND WORKFORCE DEVELOPMENT IN NNAMDI AZIKIWE UNIVERSITY TEACHING HOSPITAL NNEWI, 2020 - 2024

Abstract

This study examines the effect of digital innovation on workforce development at Nnamdi Azikiwe University Teaching Hospital (NAUTH), Nnewi, between 2020 and 2024. Anchored on the Technology Acceptance Model (TAM), the research investigates how the adoption and utilization of digital technologies influence the skills, competencies, and overall capacity of healthcare personnel. Specifically, the study evaluates the effect of Electronic Health Records (EHR), digital training platforms, and automation and artificial intelligence (AI) tools on workforce development within the institution. A quantitative research design was employed, with data collected from healthcare professionals across various departments in NAUTH. The data were analyzed using appropriate statistical techniques to test the formulated hypotheses. Findings reveal that Electronic Health Records (EHR) have a significant positive effect on workforce development by enhancing data management skills, improving efficiency, and promoting evidence-based practice. Furthermore, digital training platforms were found to significantly strengthen workforce capacity by facilitating continuous learning, skill acquisition, and adaptability among staff. In addition, this study establishes that automation and AI tools contribute positively to workforce development by streamlining routine tasks, improving clinical decision-making, and encouraging the acquisition of advanced technological competencies. This study concludes that digital innovation is a critical driver of workforce development in modern healthcare systems. The integration of digital technologies not only improves operational efficiency but also necessitates continuous professional development, thereby fostering a more skilled and adaptable workforce. Consequently, the study recommends sustained investment in digital infrastructure, continuous staff training, and the strategic implementation of AI-driven solutions to enhance workforce productivity and healthcare delivery outcomes.