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Digital Transformation in Clinical Genetics: A Concept Analysis.

Kelly Bontempo1, Kevin S Hughes2, Diana Ivankovic1

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Summary
This summary is machine-generated.

Digital transformation in clinical genetics integrates advanced technologies to enhance patient care, efficiency, and outcomes. This study defines the concept, outlining key attributes for improved genetic service delivery and data management.

Keywords:
Clinical geneticsData-drivenDigital healthDigital innovationDigital toolsDigital transformationGenetic counselingGenetic testingHealth care deliveryService delivery

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Area of Science:

  • Genetics
  • Health Informatics
  • Digital Health

Background:

  • Digital transformation offers potential to reshape healthcare, enhancing accessibility, personalization, and data-driven approaches.
  • A standardized definition for digital transformation in clinical genetics is currently lacking.

Purpose of the Study:

  • To define digital transformation within the context of clinical genetics service delivery.
  • To identify and describe the core attributes, antecedents, and consequences of this concept.

Main Methods:

  • Utilized Walker and Avant's established method for concept analysis.
  • Conducted a comprehensive overview to identify key characteristics of digital transformation in clinical genetics.

Main Results:

  • Identified six key attributes: technology-driven data integration, efficiency, patient-centeredness, safety and privacy, equitable access, and outcome improvement.
  • Proposed a formal definition integrating data-driven technologies (AI, analytics, digital platforms) into genetic services.

Conclusions:

  • A clear definition of digital transformation in clinical genetics is crucial for practitioners.
  • The proposed definition emphasizes improved efficiency, patient-centered care, equitable access, and optimized outcomes while ensuring data safety and privacy.