EVALUATING THE IMPACT OF DIGITAL TRANSFORMATION ON HEALTH ADMINISTRATION EFFICIENCY: A HEALTH INFORMATICS PERSPECTIVE

Abstract

This paper provides a comprehensive evaluation of the impact of digital transformation on health administration efficiency from a health informatics perspective. Digital transformation—an integrated realignment of healthcare operations driven by technologies such as Electronic Health Records (EHRs), Artificial Intelligence (AI), telehealth, and data analytics—is restructuring healthcare delivery. From an informatics standpoint, the value of these technologies is not in their mere implementation, but in their systematic integration into clinical and administrative workflows, and their measurable impact on performance. This paper examines the key performance indicators (KPIs) used to measure efficiency, analyzes the specific contributions of core digital technologies, and situates these changes within established theoretical frameworks like the Donabedian model and Technology Acceptance Model (TAM).

Evidence from pre-2024 literature demonstrates significant, quantifiable gains in administrative efficiency, including reduced operational costs, streamlined patient workflows, enhanced data accuracy, and a marked reduction in medical and billing errors. However, these benefits are neither uniform nor guaranteed. They are contingent on overcoming substantial and persistent challenges, including systems interoperability, data security, high implementation costs, and the critical sociotechnical aspects of workforce adoption and user burnout. This research concludes that a robust health informatics framework, which treats digital transformation as an iterative, human-centered process, is essential to guide, measure, and ultimately optimize the transformative potential of digital tools in health administration.