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Common origin but individual outcomes: time for new guidelines in personalized healthcare
Olga Golubnitschaja1,2, Vincenzo Costigliola2
1Department of Radiology, Rheinische Friedrich-Wilhelms-University of Bonn, Germany. golubnitschaja@epmanet.eu.
Abstract:
Clinical observations clearly demonstrate that similar endogenous and exogenous risk factors cause individual reactions and pathologic characteristics; therefore, the same therapeutic approaches applied within one cohort of patients lead to individual outcomes. How could we optimize approaches used in the current healthcare systems? Individualized treatment algorithms and paradigm change from a late interventional approach to predictive diagnosis, followed by the targeted prevention of a disease before pathology manifests, presents an innovative concept for advanced healthcare that is cost effective. Predictive perinatal/postnatal diagnosis and the preselection of a particular healthy but disease-predisposed individual, followed by targeted preventive measures, represent the primary task in the overall action of personalized healthcare. Those highly effective measures can lead to a reduced prevalence of severe pathologies and better long-term outcomes for patients treated according to individual parameters and therapeutic algorithms. Furthermore, an increased portion of socially active members remaining vibrant with excellent physical and mental health can therefore, be expected in the elderly. Improving the quality of life of aging populations and reducing costs in advanced healthcare systems, is a global challenge of the 21st century. This task requires intelligent political regulations and the creation of new guidelines to advance the current healthcare systems. Targeted preventive measures should be well regulated by innovative reimbursement programs introduced by policy-makers. This is considered as the cost-effective preventive 'medicine of the future'.
Insights
Personalized healthcare shifts from late intervention to predictive diagnosis and targeted prevention. This approach optimizes patient outcomes and reduces healthcare costs for aging populations.
Area of Science:
- Healthcare Innovation
- Preventive Medicine
- Personalized Medicine
Background:
- Individual responses to risk factors vary, leading to diverse health outcomes even with uniform treatments.
- Current healthcare systems often rely on late-stage interventions, which can be less effective and more costly.
Purpose of the Study:
- To propose a paradigm shift towards predictive diagnosis and targeted prevention in healthcare.
- To highlight the potential of personalized healthcare strategies for improving patient outcomes and reducing costs.
- To advocate for policy changes supporting preventive medicine and personalized treatment algorithms.
Main Methods:
- Focusing on predictive perinatal/postnatal diagnosis for early identification of disease predisposition.
- Implementing targeted preventive measures based on individual patient parameters.
- Developing individualized treatment algorithms for proactive healthcare.
Main Results:
- Anticipates reduced prevalence of severe pathologies and improved long-term patient outcomes.
- Predicts enhanced physical and mental health in aging populations, increasing social activity.
- Suggests a cost-effective model for advanced healthcare systems through preventive strategies.
Conclusions:
- Personalized healthcare, emphasizing prediction and prevention, offers a cost-effective future for medicine.
- Policy-level changes and innovative reimbursement programs are crucial for advancing preventive and personalized care.
- This approach addresses the global challenge of improving quality of life for aging populations while managing healthcare costs.
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