Artificial Intelligence Integration in Health Information Management and Its Impact on Clinical Documentation Quality in Nigerian Healthcare Facilities

Abstract

Artificial Intelligence (AI) is increasingly recognized as a transformative force in healthcare, particularly within Health Information Management (HIM). This study investigates the integration of AI tools into HIM practice and their impact on clinical documentation quality in Nigerian healthcare facilities. Using a descriptive cross‑sectional survey design, data were collected from 220 HIM practitioners across public and private hospitals. The study assessed the use of AI applications such as automated coding systems, natural language processing (NLP), predictive analytics, and clinical decision support tools. Results revealed that AI integration significantly improved documentation accuracy, timeliness, and completeness, with AI‑enabled coding (β = 0.34, p = 0.003) and NLP documentation support (β = 0.29, p = 0.005) emerging as strong predictors of documentation quality. Despite these benefits, challenges such as limited infrastructure, inadequate training, and concerns about data privacy were identified as barriers to full adoption. The findings underscore the potential of AI to enhance clinical documentation and highlight the need for strategic investment in infrastructure, workforce development, and regulatory frameworks to ensure sustainable integration.

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