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The advent of digitalization in healthcare represents a significant boon for the advancement of healthcare provision. Within this paradigm, the enhancement of healthcare quality through digital transformation emerges as a pivotal process. This study undertakes a comprehensive analysis, elucidating opportunities and reflections on the digital metamorphosis of healthcare quality. Central to this transformation is the utilization of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), cloud computing, and data analytics. These digital tools serve to optimize healthcare processes, engendering models of care that are not only data-informed but also attuned to the individualized needs of patients. The integration of digital technologies with healthcare quality yields novel prospects, empowering healthcare providers to deliver personalized care, reduce operational costs, and augment treatment efficacy. However, amidst this technological epoch, formidable challenges persist. Predominant among these challenges are issues relating to standardization, infrastructural inadequacies, privacy apprehensions, technology assimilation complexities, and a dearth of data literacy. Additionally, the scarcity of proficient personnel and the financial exigencies associated with digital technology implementation further compound these challenges. Despite these impediments, the transformative potential of digitalization in healthcare quality remains unequivocal. It is imperative to address these challenges through strategic interventions, fostering interdisciplinary collaborations and investing in infrastructure and workforce development initiatives. By surmounting these obstacles, healthcare facilities can unlock the full potential of digitalization to revolutionize healthcare quality on a global scale.
Jain et al. (Sat,) studied this question.