A methodological framework for integrating model-guided medicine and multidimensional information management systems: application in anti-aging healthcare.

IF 2.3 3区医学 Q3 ENGINEERING, BIOMEDICAL

International Journal of Computer Assisted Radiology and Surgery Pub Date : 2025-05-15 DOI:10.1007/s11548-025-03337-w

Hugo Herrero Antón de Vez, Esteban Felez, Mario A Cypko

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引用次数: 0

Abstract

Purpose: This study introduces a methodological framework for integrating model-guided medicine (MGM) with multidimensional information management systems (MIMMS) to address healthcare's digital transformation challenges. Anti-aging medicine is used as a case study to illustrate the framework's adaptability and practical application in terms of data integration, workflow transparency, and AI auditability.

Methods: The methodology combines MGM and MIMMS to manage complex healthcare data through patient-specific, semantic, and syntactic models. Automated workflows streamline processes from data acquisition to decision-making. Integration is demonstrated with metabolic assessments and patient-specific modeling.

Results: The framework effectively integrates multi-domain data, enhancing interoperability, workflow transparency, and AI auditability. A case study in anti-aging medicine illustrates its practical utility and scalability, addressing limitations of existing systems and highlighting potential for broader applications.

Conclusion: This methodological framework offers a novel approach to advancing digital healthcare transformation by enabling integrated, patient-centric workflows. While not yet applied in a clinical setting, its conceptual application to anti-aging medicine illustrates the framework's adaptability and potential to enhance healthcare standards across various domains. Future work will focus on real-world validation and refinement to further demonstrate its practical impact.

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模型导向医学与多维信息管理系统集成的方法学框架：在抗衰老医疗中的应用。

目的：本研究介绍了一种方法框架，用于将模型引导医学（MGM）与多维信息管理系统（MIMMS）集成，以应对医疗保健的数字化转型挑战。以抗衰老医学为例，说明了该框架在数据集成、工作流透明度和人工智能可审计性方面的适应性和实际应用。方法：该方法结合了MGM和MIMMS，通过特定于患者的语义和句法模型来管理复杂的医疗保健数据。自动化工作流程简化了从数据采集到决策的过程。通过代谢评估和患者特异性建模证明了整合。结果：该框架有效集成了多领域数据，增强了互操作性、工作流透明度和AI可审计性。抗衰老药物的案例研究说明了它的实用性和可扩展性，解决了现有系统的局限性，并突出了更广泛应用的潜力。结论：该方法框架通过实现以患者为中心的集成工作流程，为推进数字医疗保健转型提供了一种新颖的方法。虽然尚未在临床环境中应用，但其在抗衰老医学中的概念应用说明了该框架的适应性和潜力，可以提高各个领域的医疗保健标准。未来的工作将集中在现实世界的验证和改进，以进一步证明其实际影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

5.90

自引率

6.70%

发文量

243

审稿时长

6-12 weeks

期刊介绍： The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.