New York Methodist Hospital, Brooklyn, NY 11215, USA ; Weill Medical College of Cornell University, New York, NY 10021, USA.
Technical University of Berlin, 10623 Berlin, Germany ; University of Southern California, Los Angeles, CA, 90089, USA.
EPMA J. 2014 Sep 23;5(1):16. doi: 10.1186/1878-5085-5-16. eCollection 2014.
Predictive, preventive and personalized medicine (PPPM) may have the potential to eventually improve the nature of health care delivery. However, the tools required for a practical and comprehensive form of PPPM that is capable of handling the vast amounts of medical information that is currently available are currently lacking. This article reviews a rationale and method for combining and integrating diagnostic and therapeutic management with information technology (IT), in a manner that supports patients through their continuum of care. It is imperative that any program devised to explore and develop personalized health care delivery must be firmly rooted in clinically confirmed and accepted principles and technologies. Therefore, a use case, relating to hepatocellular carcinoma (HCC), was developed. The approach to the management of medical information we have taken is based on model theory and seeks to implement a form of model-guided therapy (MGT) that can be used as a decision support system in the treatment of patients with HCC. The IT structures to be utilized in MGT include a therapy imaging and model management system (TIMMS) and a digital patient model (DPM). The system that we propose will utilize patient modeling techniques to generate valid DPMs (which factor in age, physiologic condition, disease and co-morbidities, genetics, biomarkers and responses to previous treatments). We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient. An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists. The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.
预测性、预防性和个性化医学(PPPM)有可能最终改善医疗保健服务的性质。然而,目前缺乏实用和全面的 PPPM 形式所需的工具,这种形式能够处理目前可用的大量医疗信息。本文回顾了一种将诊断和治疗管理与信息技术(IT)相结合和整合的基本原理和方法,以支持患者在整个护理过程中的需求。任何旨在探索和开发个性化医疗保健服务的计划都必须牢固地扎根于临床证实和接受的原则和技术。因此,开发了一个与肝细胞癌(HCC)相关的用例。我们采取的医疗信息管理方法基于模型理论,并寻求实施一种形式的模型引导治疗(MGT),可作为 HCC 患者治疗的决策支持系统。MGT 将使用的 IT 结构包括治疗成像和模型管理系统(TIMMS)和数字患者模型(DPM)。我们提出的系统将利用患者建模技术生成有效的 DPM(考虑年龄、生理状况、疾病和合并症、遗传学、生物标志物以及对先前治疗的反应)。然后,我们可能能够开发出一种基于个体的具有统计学意义的方法来预测某些疾病或情况,预测某些治疗结果,预防某些疾病或并发症,并为特定患者制定个性化的治疗方案。本文提出了用于 HCC 的预测性、预防性和个性化医学(ITS-PM)的 IT 系统,为医学研究人员和来自不同学科的医疗保健提供者提供了一种全面的系统,以统一访问一般医学和患者特定信息,包括肝科医生、胃肠病学家、医学和外科肿瘤学家、肝移植团队、介入放射科医生和放射肿瘤学家。本文最后回顾了 MGT 的应用,以通过 PPPM 增强 HCC 的医疗管理,提供了展望和建议。