Digital Transformation in Clinical Genetics: A Concept Analysis.

Abstract

Using technology to radically improve performance or the influence of business, known as digital transformation, could reshape health care by making care more accessible, personalized, and data-driven, leading to improved patient outcomes and more efficient care delivery. Currently, there is no standardized definition of digital transformation specifically within the context of clinical genetics service delivery. Using Walker and Avant's method of concept analysis, a comprehensive overview of digital transformation in clinical genetics is provided through identifying the concept and describing its attributes, antecedents, consequences, and empirical referents. Six key attributes of digital transformation in clinical genetics were identified: technology-driven data integration, efficiency, patient-centeredness, safety and privacy, equitable access, and outcome improvement. The following definition is proposed: digital transformation in clinical genetics is the integration of data-driven advanced technologies, such as artificial intelligence, data analytics, and digital platforms, into the delivery of genetic services to improve efficiency, enhance patient-centered care, ensure equitable access to services, and optimize clinical outcomes, all while prioritizing the safety and privacy of personal, familial, and genetic data through robust data management. A clear and formal definition will assist practitioners in understanding how digital transformation fits into the evolving landscape of clinical genetics.