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Personalised Healthcare: The DiMA Clinical Model
Marina Borro1, Giovanna Gentile1, Luigi Cipolloni2
1DiMA (Advanced Molecular Diagnosis), Department of Medical-Surgical Sciences and Translational Medicine, Sant'Andrea Hospital - Sapienza University of Rome, Via di Grottarossa, 00189 Rome. Italy.
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.
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.
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