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Personalised Healthcare: The DiMA Clinical Model.

Marina Borro1, Giovanna Gentile1, Luigi Cipolloni2

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Current Pharmaceutical Biotechnology
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PubMed
Summary
This summary is machine-generated.

Implementing personalized medicine necessitates interdisciplinary collaboration across medical, informatics, and ethical fields. A small-scale personalized healthcare service demonstrates a viable model for integrating these efforts into clinical practice.

Keywords:
Precision medicineclinical practice in personalized medicinegenetic testsgenomic medicinehealthcaremedicine systemmolecular diagnosticpharmacogenomics

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Area of Science:

  • Healthcare Management
  • Medical Informatics
  • Bioethics

Background:

  • Personalized medicine aims to tailor healthcare to individual patient needs, moving beyond a one-size-fits-all approach.
  • Successful implementation requires integrating diverse expertise, including medical, informatics, ethical, and political domains.
  • Current large-scale realization strategies for personalized medicine remain largely theoretical.

Purpose of the Study:

  • To outline the essential components for a multidisciplinary environment supporting personalized medicine.
  • To present a practical organizational model for personalized healthcare services.
  • To demonstrate a proof-of-principle for guiding the clinical implementation of personalized medicine.

Main Methods:

  • Review of existing literature on personalized medicine implementation challenges.
  • Analysis of a small-scale personalized healthcare service as a case study.
  • Identification of key collaborative elements and organizational structures.

Main Results:

  • A multidisciplinary approach is crucial for addressing the complexities of personalized medicine.
  • A structured organizational model can facilitate the integration of various competences.
  • The case study provides a proof-of-principle for practical implementation.

Conclusions:

  • Effective personalized medicine hinges on synergistic cooperation among diverse scientific and professional fields.
  • A pragmatic, service-based model can guide the transition from concept to clinical reality.
  • Further development and scaling of such models are essential for widespread adoption.