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Precision Medicine: From Science To Value.

Geoffrey S Ginsburg1, Kathryn A Phillips2

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Precision medicine uses genetic insights to improve patient care, but clinical adoption lags. This work defines precision medicine and outlines a path for integrating it into healthcare systems for better outcomes.

Keywords:
Digital HealthGenomic MedicineGenomicsMedicine/Clinical IssuesPrecision Medicine

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Area of Science:

  • Genomic Medicine
  • Translational Bioinformatics
  • Health Systems Science

Background:

  • The sequencing of the human genome has spurred advancements in precision medicine.
  • Discovery of genetic variants influencing disease and drug response has accelerated.
  • Clinical adoption of precision medicine has not kept pace with scientific discovery.

Purpose of the Study:

  • To define precision medicine and identify key stakeholders for its integration.
  • To explore the synergy between data science, analytics, and precision medicine.
  • To outline a policy and economic agenda for global precision medicine adoption.

Main Methods:

  • Review and synthesis of current precision medicine landscape.
  • Analysis of data science and analytics applications in healthcare.
  • Identification of essential components for health systems research integration.

Main Results:

  • Precision medicine offers transformative potential for patients and healthcare.
  • Integration requires collaboration across research, clinical care, and data science.
  • Real-world examples demonstrate the impact of precision medicine initiatives.

Conclusions:

  • A defined stakeholder community and integrated health systems are crucial for precision medicine.
  • Optimizing tools and information is key to improving patient outcomes.
  • A comprehensive policy and economic strategy is necessary for widespread adoption.