Evolution of Preventive Activities of the Family Physician: From Classical Prevention to Personalized Preventive Medicine
DOI:
https://doi.org/10.32782/2077-6594/2026.3/10Keywords:
family medicine, preventive medicine, personalized prevention, primary health care, risk stratification, family history, laboratory stratification, digital health, wearable devices, artificial intelligenceAbstract
Purpose is to summarize current scientific approaches to the preventive activities of family physicians, to analyze the evolution of preventive medicine from the traditional population-based model to personalized preventive care, to identify new professional competencies required for modern primary health care physicians, and to develop an original conceptual model of proactive personalized family medicine integrating evidence-based prevention with contemporary risk assessment technologies. Materials and methods. A comprehensive analytical review of contemporary scientific publications, international and national clinical guidelines, and regulatory documents devoted to preventive medicine, primary health care, and personalized medicine was conducted. Bibliographic, comparative, analytical, and systematization methods were applied to evaluate current approaches to preventive care. Particular attention was paid to publications addressing risk stratification, family history assessment, laboratory-based preventive strategies, digital health technologies, wearable devices, artificial intelligence, and patient engagement in disease prevention. Conceptual modeling was used to integrate these components into a unified framework applicable to family medicine practice. Results. The review demonstrates that preventive activities of family physicians have undergone a substantial transformation during recent decades. Traditional prevention, mainly focused on population-wide interventions and standardized screening programs, is gradually being replaced by personalized preventive medicine based on comprehensive individual risk assessment. Modern preventive care requires integration of hereditary predisposition, lifestyle characteristics, comorbidities, laboratory findings, behavioral factors, and continuously updated clinical information. The analysis identified several new competencies essential for contemporary family physicians. These include genealogical assessment as a practical tool for identifying hereditary disease susceptibility, laboratory risk stratification aimed at early detection of preclinical disorders, implementation of digital health technologies and electronic medical services, interpretation of data obtained from wearable devices, utilization of artificial intelligence as a clinical decision support instrument, and evidence-based patient participation in health preservation. Unlike conventional preventive models, these competencies should not function independently but rather be incorporated into a comprehensive system supporting individualized preventive decision-making. Based on the performed analysis, an original conceptual model of proactive personalized family medicine was developed. The proposed model integrates traditional preventive interventions with modern approaches to individual risk assessment, digital technologies, laboratory stratification, family history analysis, wearable monitoring systems, and artificial intelligence into a continuous cycle of preventive care coordinated by the family physician. Within this framework, the family physician performs not only preventive examinations but also coordinates personalized risk assessment, develops individualized prevention plans, continuously monitors their effectiveness, and modifies preventive strategies according to changes in patients’ health status. Such an approach enables transition from reactive disease management to proactive health preservation and supports long-term patient-centered preventive care. Conclusions. The evolution of preventive medicine demonstrates an ongoing transition from population-based prevention toward proactive personalized health care. Modern family medicine requires expansion of physicians’ competencies beyond conventional preventive activities to include comprehensive interpretation of clinical, laboratory, genealogical, and digital information. The original conceptual model proposed in this review provides a methodological framework for integrating traditional prevention with innovative technologies for individualized risk assessment and continuous health monitoring. Its implementation may improve preventive care efficiency, strengthen personalized decision-making in primary health care, and facilitate further development of proactive family medicine.
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